Modelling Analyst Resume Samples
4.6
(109 votes) for
Modelling Analyst Resume Samples
The Guide To Resume Tailoring
Guide the recruiter to the conclusion that you are the best candidate for the modelling analyst job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.
Craft your perfect resume by picking job responsibilities written by professional recruiters
Pick from the thousands of curated job responsibilities used by the leading companies
Tailor your resume & cover letter with wording that best fits for each job you apply
Resume Builder
Create a Resume in Minutes with Professional Resume Templates
CHOOSE THE BEST TEMPLATE
- Choose from 15 Leading Templates. No need to think about design details.
USE PRE-WRITTEN BULLET POINTS
- Select from thousands of pre-written bullet points.
SAVE YOUR DOCUMENTS IN PDF FILES
- Instantly download in PDF format or share a custom link.
RH
R Hamill
Reggie
Hamill
69868 Jordi Light
Phoenix
AZ
+1 (555) 676 5124
69868 Jordi Light
Phoenix
AZ
Phone
p
+1 (555) 676 5124
Experience
Experience
New York, NY
Modelling Analyst
New York, NY
McLaughlin Inc
New York, NY
Modelling Analyst
- To assist with Portfolio Management, and production of MI
- Provide statistical analysis for improvements in current assessment processes
- Consolidate Market Demand Plan and provide to Market Demand Manager
- Working closely with the Acquisition team to manage the lending profile in order to meet the business’ financial targets
- Summarize/aggregate statistical forecasts and generate ad hoc reports based on requests from Supply Planning Managers or Category Demand Planning Managers
- Continued development and implementation of the models including monitoring, calibration and stress testing
- Review resulting statistical forecast model and apply error analysis techniques to improve forecasting; Monitor trends in forecast error
New York, NY
Aggregate Modelling Analyst
New York, NY
Harber Group
New York, NY
Aggregate Modelling Analyst
- Make recommendations about process improvements
- Support actuarial and capital modelling teams by providing data for group submissions as well as other ad hoc requests
- Produce monthly reports detailing how the portfolio is utilising TVaR budgets. Provide results to underwriting teams and for group consolidation
- Assist with model upgrades, model testing, process updates, sensitivity testing, analyst training, and rollout material
- Conduct monthly audits of bound account entries to ensure process adherence, identify training issues, and to verify proper capture of the policy terms in catastrophe modelling software (RMS). Communicate issues to Shared Services and track through to resolution
- Mine / query exposure (or results) data to assist in preparation of catastrophe portions of rating agency questionnaires and exposure & model reporting
- Provide catastrophe modelling support to underwriters to include the following
present
San Francisco, CA
Senior Modelling Analyst
San Francisco, CA
Gerhold, Kunze and Koepp
present
San Francisco, CA
Senior Modelling Analyst
present
- Work with the operational teams and potential software providers to develop and manage the production Models
- Work with the Model Developers to help build best in class models
- Model Development
- Identify areas where statistical modelling will improve business processes using Operations Research based techniques
- The mandate of the Model Controls Team is to minimize the potential for loss attributed to model development failure and to provide the most effective engineered solutions to support delivery of world class analytical solutions to our Business Partners. The MC team ensures that the Modelling, Data Management and Implementation teams comply with a defined set Internal Controls Framework and with a defined Model Development process
- Provide production support for the Model
- The role holder will be responsible for the development of mathematical models and their associated documentation, as well as support of model implementation and their use
Education
Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
Iowa State University
Bachelor’s Degree in Statistics
Skills
Skills
- Knowledge of programming techniques, Credit Risk and Risk Analytics techniques, SAS or FICO Blaze will be desirable
- Attention to detail
- Knowledge/ Application of related statistical techniques within credit risk scoring environment
- Good written and verbal communication skills
- Working knowledge of the full credit risk lifecycle
- Proficient with Excel, Word and PowerPoint
- Microsoft Office applications knowledge
- Strong analytical, numerical, research and numerical problem solving skills
- Ability to understand Risk and how it effects customers, colleagues and the wider Bank
- Be passionate about numbers and analysing large amounts of data, focusing a high attention to detail
15 Modelling Analyst resume templates
Read our complete resume writing guides
1
Senior Basel Modelling Analyst Resume Examples & Samples
- Strong working knowledge and 3+ years extensive hands-on experience using SAS and SQL in the context of data manipulation, data mining, statistical analysis, and predictive modelling
- Strong working knowledge and 3+ years extensive hands-on experience using the Data Warehousing Platform (DWP) and other internal and external data sources (such as product systems and credit bureau files); proficiency and extensive experience in creating and manipulating large data sets for data mining and predictive statistical modelling from various internal and external sources
- Strong working knowledge of modern statistical model development and validation concepts and techniques, in particular linear and logistic regression techniques
- Working knowledge of TDBG retail real-estate secured credit products, policies, and practices
- Working knowledge of concepts and methodologies, such as retail credit risk scoring techniques, used in the assessment of credit risk for retail credit exposures
- Working knowledge of concepts and methodologies used in the Expected Loss and Basel II IRB Capital calculations for retail credit exposures
- A solid track record of successful development, initial validation, documentation, and implementation of predictive statistical models for long-run default, exposure and credit loss related parameter estimates for use in calculating Expected Loss and Risk Weighted Assets for retail credit exposures under Basel II
- Strong communication skills (both written and oral), ability to effectively present technical, business, and project management subjects to multiple stakeholders
2
AVP Snr Modelling Analyst Resume Examples & Samples
- Completion of a degree or equivalent in statistics, mathematics, operations research or related area or significant relevant experience
- PC skills - Including competence in the use of SAS, Excel, Outlook and Word
- Conceptual thinking – Ability to think strategically with good intellect and ability to focus on the whole portfolio of Group activities and their associated value generation
- Communication - Strong communication skills with the ability to think quickly and package ideas and results in a logical, understandable way for both technical and non-technical audiences
3
Operational Risk Modelling Analyst Resume Examples & Samples
- Support the ongoing development of the Group's stress testing capabilities in relation to Operational Risk and the incorporation of these in the regulatory frameworks (e.g. CCAR)
- Support the preparation of communication to senior management and regulatory bodies
- Support the Operational Risk qualitative overlay (scenarios) process in the US IHC
- Support the self-assessment process against various regulatory requirements
- Sensitivity to business needs & requirements
- Solid organisational skills and ability to work under pressured timelines
4
Operational Risk Modelling Analyst Resume Examples & Samples
- Support the ongoing development of the Group's stress testing capabilities in relation to the Operational Risk and the incorporation of these in the regulatory frameworks (e.g. CCAR)
- Support the Operational Risk qualitative overlay (scenarios) process in the US
- Support the self assessment process against various regulatory requirements
5
Catastrophe Modelling Analyst Resume Examples & Samples
- Proven communication skills, coupled with an exceptional eye for detail
- Ability to apply advanced mathematical, economical, and statistical concepts
- Ability to process and understand data quickly and creatively
- Skills in MS Excel
6
Modelling Analyst Resume Examples & Samples
- Post secondary degree in Statistics/Applied Mathematics or equivalent experience
- Minimum two years experience working with predictive models
- Previous experience in unsecured lending/credit cards a definite asset
- Highly proficient in application of analytical and presentation tools
7
Modelling Analyst Resume Examples & Samples
- Post secondary degree (Statistics/Applied Mathematics preferred)
- Minimum two years experience working with business analysis
- Proficient in application of analytical and presentation tools
8
Operational Risk Modelling Analyst Resume Examples & Samples
- Be the liason and point of contact for operational risk capital for the APAC Legal Entities. Support the communication to senior management and the various governance groups as well as the regulatory bodies
- Engage in the preparation and facilitation of Operational Risk scenario workshops for the APAC Legal Entities
- Support the ongoing development of the Group's stress testing capabilities in relation to the Operational Risk and the incorporation of these in the regulatory frameworks (LPA, CCAR, ICAAP, etc.) with focus on the requirements from the APAC regulators
- 6-8 years of work experience in a financial institution with solid understanding and practical experience of risk model development
- Strong experience with statistical modelling in VBA/S-Plus/R or other similar packages. Familiarity with econometric and statistical modelling techniques
- Experience in Basel II/RWA, Economic Capital requirements
- Experience in an operational risk management role is strongly preferred
- Some line management experience required
- PhD/MSc in quantitative discipline
9
Market Response Modelling Analyst Resume Examples & Samples
- Position requires a bachelor degree or higher in statistics, operations research, mathematics or related field
- 3+ year’s hands-on experience in financial services or comparable industry (can be compensated by a master’s degree in a suitable field)
- Experience in analyzing, testing and implementing market response models
- Minimum 3 years of data mining / predictive modeling using tools such as advanced SAS
- Strong understanding of Bureau data and keen interest in exploring non-conventional data with strong experience in managing for higher conversion rates in direct mail models
- Excellent organization skills, with attention to detail and
- Ability to develop efficiencies where appropriate, making optimum use of automation and analytical tools
- Team player with good communication skills with the ability
- To explain technical concepts to a diverse audience in business terms. Ability
- To create technical review documents for a non-technical audience
- Proven ability to perform deep dive into data to solve
- Problems. Logical, granular and comprehensive approach to problem solving
10
Senior Modelling Analyst Resume Examples & Samples
- Passionate about data analysis and how this contributes to the business
- Strong track record in performing data analysis and building predictive models, utilising a standard statistical package such as SAS (preferred) for large financial institutions
- A self-motivated team player who is able to define, structure and prioritise work for self, but who also has the flexibility and capability to change priorities when circumstances dictate
11
Senior Risk Modelling Analyst Resume Examples & Samples
- A university degree in Statistics or a related quantitative discipline (Mathematics, Actuarial Science, Computer Science, Econometrics, Operations Research)
- Strong working knowledge and 3+ years extensive hands-on experience using SAS and SQL in the context of data manipulation, data mining, statistical analysis, and predictive modeling
- Strong working knowledge and 3+ years extensive hands-on experience using the Data Warehousing Platform (DWP) and other internal and external data sources (such as product systems and credit bureau files); proficiency and extensive experience in creating and manipulating large data sets for data mining and predictive statistical modeling from various internal and external sources
- Working knowledge of TDBG retail credit products, policies, and practices
- Working knowledge of concepts and methodologies used in the Expected and Unexpected Loss, Allowance, Basel II AIRB Capital, Economic Capital, and stress testing calculations for retail credit exposures
- A solid track record of successful development, initial validation, documentation, implementation, and monitoring of predictive statistical models for default, exposure and credit loss parameters for use in calculating Expected Loss, Allowance, and Risk Weighted Assets under Basel II Advanced IRB Approach for retail credit exposures
- Working knowledge of the capital model approval policy and data governance requirements affecting Retail AIRB model implementation, and demonstrated ability to successfully satisfy these requirements
- Strong leadership skills and demonstrated ability and willingness to teach, guide, and lead modeling analysts and co-op students
12
Business Modelling Analyst Resume Examples & Samples
- A degree or designation in business, finance or accounting, with a sound grasp of financial accounting, combined with business awareness and an understanding of the factors that drive financial performance
- A degree or demonstrated experience in computer science, or mathematics with a strong knowledge of programming, predictive analytical and statistical techniques would be advantageous
- Financial modelling skills, with the ability to create financial models based on our client's operational and financial business plans
- Aptitude in quantitative and qualitative analysis with a natural interest in using it to help our clients to better understand their business and/or to make better business decisions
- Advanced knowledge of Microsoft Excel, including VBA (preferred)
- Knowledge of programming languages and tools such as SQL, R, Matlab, Spotfire, Tableau, etc., preferred
- The ability and flexibility to work alongside team members to ensure the timely completion of work deliverables, and manage time spent against budget
- Excellent analytical, project management, multi-tasking, communication, organizational, teamwork and interpersonal skills
13
Risk Modelling Analyst Resume Examples & Samples
- Working knowledge and hands-on experience using the Data Warehousing Platform (DWP) and other internal and external data sources (such as product systems and credit bureau files); proficiency and extensive experience in creating and manipulating large data sets for data mining and predictive statistical modeling from various internal and external sources
- Working knowledge of modern statistical model development and validation concepts and techniques, in particular linear and logistic regression techniques
- Knowledge of TDBG retail credit products, policies, and practices
- Knowledge of concepts and methodologies used in the Expected and Unexpected Loss, Allowance, Basel II AIRB Capital, Economic Capital, and stress testing calculations for retail credit exposures
- Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
14
Insight Modelling Analyst Resume Examples & Samples
- Developing statistical models to predict the retention and acquisition of customers
- To create complex algorithms to optimise business outcomes and customer life-time value
- Knowledge of tools such as SAS, R, SPSS
15
Senior Modelling Analyst Resume Examples & Samples
- To deliver models to support the stress testing activity within Risk and Finance concerning P&L and Balance Sheet items
- To deliver models that are used for regulatory submissions and to aid internal planning requirements
- Development of models to support the stress testing activity within Risk and Finance
- Identify and use cutting edge techniques to develop best in class decision tools
- Share and seek out best practice across the modelling areas to develop self and mentor colleagues, to support the creation of a world class team
- Develop high-standard SAS code and model documentation. Delivering robust, predictive models and tools that are compliant with both internal and external regulations
- Present models to Model Review Committee or delegated individual for formal review and sign-off
- Deliver high levels of accuracy and internal consistency/validation within own projects and provide support for colleagues with their projects
- Opportunity to lead modelling projects end-to-end
16
Senior Power Economics Modelling Analyst Resume Examples & Samples
- Changes in electricity markets, evaluating investment opportunities for GE Capital, and identifying growth opportunities for GE Power businesses by developing, applying, and maintaining detailed power market models
- Participate on project teams by providing power system analysis including: modeling, simulation, and evaluation of design alternatives
- Develop processes and implement new energy production modeling changes and methods into GE electricity dispatch models while maintaining the integrity of existing datasets, performing database updates and establishing error-proofing processes and management procedures and develop methods and procedures that promote fast and efficient data gathering and results analysis
- Effectively communicate results by preparing written detailed and summary reports and making presentations describing analyses performed, solutions developed, and value obtained
- BSc Degree in Engineering, Economics, or Computer Science or equivalent knowledge and experience
- Proficient with Office productivity tools such as Excel, Word, PowerPoint and Access
- Academic training or some months experience with power system analysis, design and operation, or generation and transmission planning/pricing
- Master’s degree with Power and/or Computer Science concentration or its equivalent
- Basic knowledge of energy markets such as: energy price trends (electricity and major fuels); Energy and associated ancillary services market rules and practices; Generation Capacity Markets; Current European energy regulations; Transmission system limitations and operating practices
- Knowledge of environmental rules, regulations and control technologies
- Experience with: Power system analysis, design and operation, or generation and transmission planning/pricing
- Proficiency with power system analysis tools, e.g., PLEXOS, PROMOD, PSLF, MAPS, MARS
17
Credit Risk Modelling Analyst Resume Examples & Samples
- Develop, implement and maintain credit rating model to ensure ongoing accuracy, compliance and relevance given the ongoing changes in economic, business and regulatory environment
- Monitor and back test performance of the models
- Work closely with model validation to ensure adherence to the governance framework and ensure timely closure of validation issues
- Work closely with business and risk management to provide value adding risk analytics solutions for the enhancement of risk-return tradeoff in credit decisioning, business strategies, risk appetite setting and capital assessment
- LI-ML
- Good university degree in a quantitative discipline (e.g. Mathematics, Statistics, Financial Engineering etc) with a clear ability for handling data and performing quantitative analysis
- Analytical and independent thinker with strong written and verbal communication skills especially in explaining complex technical subjects in a simple/pragmatic way to business and senior management
- Strong computational skills preferably in SAS or SQL
- At least 3 years of relevant experience in a related area
18
Modelling Analyst Resume Examples & Samples
- Develop and maintain statistically derived models across the credit lifecycle, including application, behaviour, collections, bankruptcy etc
- Develop capital estimates modelling, including PD, EAD and LGD analysis
- Develop / Validate retail business unit strategies and assessment processes where required
- Responsible for all aspects of data management, including data sourcing, data integrity, appropriate usage of data and documentation
- Provide statistical analysis for improvements in current assessment processes
- Post Graduate qualifications in statistics, operations research or mathematics
- Strong analytical, numerical, research and numerical problem solving skills
- Knowledge/ Application of related statistical techniques within credit risk scoring environment
- Well-developed written and verbal skills
- Mature interpersonal skills
- Experienced statistical software skills (e.g. SAS)
- Microsoft Office applications knowledge
- An understanding of credit scoring and portfolio analysis techniques
- Project management skills: Understands project lifecycle, milestones
19
Senior Modelling Analyst Resume Examples & Samples
- Lead discussions with Business Users to determine and clarify Cause and Effect Relationships that will define the future state optimization models
- Convert Cause and Effect Relationships into operational statistical optimization models using a variety of modelling software
- Continuously proof and validate the Cause and Effect Relationships and the resultant Model by running test cases and error management strategies
- Document the resulting Model to appropriate standards
- Provide production support for the Model
- University Degree with a focus on business analysis, statistics and or a related field
- Graduate Degree strongly preferred
- 3+ years experience in a mixed analytics/business environment
- 2+ years experience with predictive modeling using SPSS, R or Python
- 2+ years SQL and relational database management experience
- 1+ years experience using an optimization package, such as CPLEX or Gurobi
- Advanced proficiency in MS Access & Excel
- VBA programming (or another functional language)
20
Modelling Analyst Cards Decision Models Resume Examples & Samples
- Development of Impairment and Regulatory models, generally under the guidance of seniors
- Share and seek out best practice across the modelling areas to develop self and to support the creation of a world class team
- An ability to produce reports and interrogate systems to produce analysis and resolve discrepancies/queries
- Masters level degree or PhD in Mathematics, Statistics, Management Science or Engineering
- Including competence in the use of SAS, Excel, Outlook and Word
21
Modelling Analyst Resume Examples & Samples
- Develop predictive models, statistical analyses, optimization procedures, monitoring processes, data quality analyses, and score implementations supporting impairment and collection, generally under the guidance of seniors
- Participate in overall project design and delivery with Risk Analytics’s other functional teams and end-clients
- Work with other DS staff to ensure project completion within agreed time frames and end-client satisfaction
- A good knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.)
- Must have a clear understanding and experience in performing data analysis and be capable of working independently on data analysis tasks
22
Senior Modelling Analyst Resume Examples & Samples
- The Central Modelling Team is a sub team of the wider Financial Control and BUK Modelling team and focuses on the UK models
- The central modelling team is also responsible for leading ad hoc modelling requests that don’t fit in any of the other retail / small business modelling teams, and for providing additional support to other teams to cover short term resourcing / knowledge gaps. As such, this role will be involved in other credit modelling activities (Capital, Impairment, Pricing / Risk Reward, Application / Behavioural modelling), for personal and small business that is performed in the UK, Europe and Barclaycard divisions
- On appointment, it is expected that the candidate will be able to hit the ground running to meet challenging business priorities developing models across this portfolio
- This is an excellent opportunity for candidates with the necessary qualifications to become part of a group utilising advanced mathematical modelling techniques
- Model Development and Analytics responsibilities across the BUK division
- Work closely with the model monitoring team and IVU (Internal Validation unit) to support timely and insightful model approval and performance tracking, enabling the business to make rapid credit decisions against market condition changes
23
Senior Modelling Analyst Resume Examples & Samples
- The UK Consumer Credit Models Modelling Team is responsible for the development of models for use across Barclays Retail Secured and Unsecured portfolios (including Mortgages, Loans and Current Accounts). This role will be focus on the UK models
- Models developed will be used within the business to forecast Impairment Charge (credit loss provisioning), for the calculation of Regulatory/Economic Capital, and associated stress testing and for application processes (scorecard development)
- Development of Impairment, Regulatory/Economic Capital, Stress Testing and scorecard Models used across Barclays Retail Secured and Unsecured portfolios
24
Catastrophe Modelling Analyst Resume Examples & Samples
- Preparing exposure data for client projects
- Assessing data quality and making necessary assumptions for modelling
- Participating in Solvency II and R&D efforts
25
Modelling Analyst Resume Examples & Samples
- Experience using Microsoft Office, especially excel
- Knowledge of programming techniques, Credit Risk and Risk Analytics techniques, SAS or FICO Blaze will be desirable
- Evidence of consistency and progression in career to date
- Passionate about providing unparalleled levels of Customer service
26
Catastrope Modelling Analyst Resume Examples & Samples
- Responsible for monitoring onshore energy exposures against agreed perils & scenarios using catastrophe models and aggregation software
- Produce monthly reports detailing how the portfolio is utilising TVaR budgets. Provide results to underwriting teams and for group consolidation
- Ensure exposure data captured is complete and accurate by working with and providing guidance to teams located within shared service centres
- Pricing and analysis of risks pre-bind, upon underwriter request, and providing explanation and insight as required
- Support actuarial and capital modelling teams by providing data for group submissions as well as other ad hoc requests
- Experience in catastrophe risk modelling, ideally being familiar with modelling onshore energy risks
- Knowledge of offshore energy exposure management and modelling would be advantageous
- Strong understanding of financial modelling concepts with emphasis on simulation modelling
- Solid understanding of key insurance concepts and product offerings
- Strong practical orientation and the ability to take advanced concepts and apply them in real-world situations
- Results oriented and collaborative team player
- Ability to manage time and meet deadlines
- Advanced knowledge and experience of using the following software/platforms
27
Senior Risk Modelling Analyst Resume Examples & Samples
- Working knowledge and hands-on experience using SAS and SQL in the context of data manipulation, data mining, statistical analysis, and predictive modeling
- Work experience in the retail banking industry
- Knowledge of concepts and methodologies, such as retail credit risk scoring techniques, used in the assessment of credit risk for retail credit exposures
28
Propensity Modelling Analyst Resume Examples & Samples
- Responsible for data analysis, profiling and modelling activity to increase understanding of the propensity (likelihood) of a customer responding to different offers and messages
- Developing and testing models in alignment with the plan in order to tailor offers for customers, driving benefit for our customers and for British Gas
- Monitoring model performance and re-score or develop new models as required. Offering sensitivity analysis and modelling to continually improve the targeting and commercial performance of product discounts and offers
- Support the development of testing methodologies to continually improve customer value and offer targeting, proposition development and model predictability
- Collaborate with other members of the team to ensure targeted communications are developed and deployed to agreed quality and timescales
- Advise and communicate with business units on the appropriate use of analysis, reports and models so that they both understand and use the output effectively enabling further customer messaging opportunities to be identified
- As part of a team you will work together within a highly collaborative environment with constant liaison and communication
- Within all aspects of the role put the Customer at the heart of decision making and support the UKES&S ambition to lead the digital transformation of our industry
- Proven experience in an analytical role with experience of segmentation and modelling as well as a natural curiosity to proactively question and investigate data
- Experience of implementing a best practice approach to campaign value maximisation in an already established modelling function gained in a large and complex organisation
- Experience of highly numerate work, structured thinking, with strong analytical/data interpretation skills
- Experience of using industry leading data and analytical tools SQL / SAS / SPSS
- Experience of Hadoop
29
Latin Modelling Analyst Resume Examples & Samples
- Perform data cleansing and prepare data according to applicable segmentation policy and guidance from Category Demand Planner(s)
- Execute statistical model to generate the baseline forecast under the supervision of the Modeler
- Maintain data parameters in the system based on direction from the Modeler
- Maintain segmentation policies based on direction of Category Demand Planning Manager
- Run simulations on boundary setting based on scenarios designed by the Supply Planning Manager
- Run scenario modeling for new product launches
- Generate, consolidate and distribute periodic performance reports and dashboards to enable continuous improvement
- Education related to statistics, mathematics, engineering
- Functional Work Knowledge (Demand Planning, Sales and Operations Planning (S&OP), Integrated Business Planning (IBP), Forecasting)
- Full Operational knowledge of SAP ECC / APO (preferred) or other Advanced Planning Systems through formal training & experience
- Fully versed on Microsoft Office tools (Word, Excel, Power Point)
- Advanced English mandatory
30
Modelling Analyst Resume Examples & Samples
- Be passionate about numbers and analysing large amounts of data, focusing a high attention to detail
- Passionate for learning, looking to progress and to continually challenge themselves
- Ability to understand Risk and how it effects customers, colleagues and the wider Bank
- Perhaps you’ve recently graduated and studied Math’s, Statistics, Economics or Physics
31
Senior Modelling Analyst Resume Examples & Samples
- Develop and deliver models, methodologies or analysis across several functional areas from among
- Forecasting, including long and short term customer demand forecasting for power and gas, and wind generation forecasting
- Fundamental market modelling for power and gas in the long and short term
- Modelling and analysis to support Retail including models and methodologies to calculate cost bases and portfolio risk premia, and support for new product development
- Optimisation of generation dispatch and generation asset valuation
- Support for originating and structuring wholesale contracts including gas (e.g. storage, swing) and PPAs (e.g. thermal, wind)
- Modelling and analysis to support readiness for the I-SEM market
- Support for tool building and business process improvement
- Market and competitor analytical support to BGE management
- Take full ownership of the model development process and of relationships with the business customer from conceptualisation through data exploration, model selection and validation, implementation, business user training and support
- Maintain up-to-date knowledge of market and regulatory developments, especially with respect to the design of the I-SEM market
- Maintain adequate documentation for all models and methodologies and ensure adequate controls are in place
- Perform any other duties that may arise
- A degree in a quantitative or scientific field such as mathematics, physics, or engineering. Relevant post-graduate qualification ideal
- Proficient at programming in Python, Matlab, or a similar environment
- Knowledge of power and gas markets, and especially of the regulation and operation of the SEM power market and the proposed I-SEM market
- Experience of manipulating and analysing large data sets and in the use of R and SQL
- Capability with Plexos market scheduling model
32
Senior Modelling Analyst Resume Examples & Samples
- The role sits within the wider Risk Analytics department – which has responsibility for all BUK Risk Model development across Barclays. This particular role is within the Model Controls team (MC Team), which helps ensure that all Risk models (such as models for Capital, Impairment, Collections, Fraud, Risk Reward / Pricing and Application scorecards), built within the Barclays UK and Barclaycard divisions, are built to the highest possible specification
- The mandate of the Model Controls Team is to minimize the potential for loss attributed to model development failure and to provide the most effective engineered solutions to support delivery of world class analytical solutions to our Business Partners. The MC team ensures that the Modelling, Data Management and Implementation teams comply with a defined set Internal Controls Framework and with a defined Model Development process
- Track the progress of individual Model development against the Framework, ensuring that the Model development process is in line with the Modelling Standards and compliance maintained at all times
- Work with the Model Developers to help build best in class models
- Provide support to the Head of Model Controls
- Obtain a strong understanding of the overall data structure currently used and develop innovative analytical methods to ensure quality across all deliverables
- Transform high-level requests into focussed and specific analysis and synthesise results to raise issues and provide solutions
- Extend/ modify analysis based on observations/ knowledge of data and limitations, and implications of results
- Present and communicate results to Senior Management
- Develop the best-in-class analytics tools to deliver a stable and highly available reporting platform across all key areas like Scorecards, models and governance
- Driving key analytics to maximise value by working closely with subject matter experts across the business
- Model Development
- Strong modelling background or understanding of different statistical models used in Finance and Risk
- Understanding of SAS 9.2 and how to analyse output
- Quality and Controls – ability to assess validity of work delivery
- Communications skills with the ability to think quickly and package ideas and results in a logical, understandable way for both technical and non-technical audiences
- Planning & organisation – ability to prioritise work in order to maximise value for the business
- Practical experience of using analytics to solve complex business problems
- Knowledge and Expertise
- Ability to act as ‘Team Expert’ in a the area of Controls procedures to the modelling teams and business stakeholders
- Awareness of the financial services industry
- Awareness of the economy, market and customer trends affecting the business
- An ability to understand Model outputs produced using SAS
- Understanding of Credit Risk Processes and Strategies
- An understanding of the fundamental principles of the Basel II Accord, IFRS 9 and Stress Testing
- Preferred completion of a degree or equivalent in statistics, mathematics, operations research or related area or significant relevant experience
33
Lead Credit Policy & Risk Modelling Analyst Resume Examples & Samples
- Four years proven statistical analysis experience or equivalent, knowledge and understanding of financial services preferred
- Well developed interpersonal, organizational, analytical, problem-solving, project management and verbal and written communication skills
- Proficiency with personal computers as well as pertinent mainframe systems and software packages. Strong programming skills to include knowledge of statistical programs (i.e. SAS, SPSS)
- Knowledge of segmentation, targeting, optimization, and life cycle management required
34
Aggregate Modelling Analyst Resume Examples & Samples
- Responsible for monitoring XLC exposures against agreed perils & scenarios using catastrophe models and aggregation software
- Prepare data for reinsurance submissions
- Make recommendations about process improvements
- Some experience in catastrophe risk modelling, ideally being familiar with modelling of Specialty lines e.g. fine art and specie, cargo, ports etc
- Knowledge of Crisis Management exposure management and modelling would be advantageous
- Strong communication skills including the ability to make complex topics simple
- Catastrophe Risk Management Software: RMS: RiskLink
- Other Software
35
Operational Risk-senior Modelling Analyst Resume Examples & Samples
- The position is in the Operational Risk Modelling team of Group Risk Analytics. The team is responsible for the Advanced Measurement Approach for assessing Regulatory and Economic
- Model Controls
- Understand regulatory and internal Operational Risk modeling requirements
- Apply statistical techniques in risk estimation
- Obtain and document loss distributions, correlation structure and capital allocation
- Support the design and testing alternative methods
- Conduct statistical analysis of internal and panel loss data
- Liaise with members of Group Operational Risk on daily basis
- Document methodologies and results
- Support and validate Key Risk Scenario assessments by business management
- Analyse loss experience, calculate model parameters, and calculate loss distributions, correlations and capital requirements
- Support Medium Term Planning and Risk Appetite
- Analyse model performance and conduct model review
- Analytical ability - Must have an understanding in performing data analysis and be capable of working independently on data analysis tasks
- Communication - Excellent communication skills, both written and oral, to document and communicate complex concepts in plain English
- Innovation – Desire to develop innovative ways to solve complex problems, within particular constraints
- Quality and Controls – Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Barclays Operational Risk Framework and internal Barclays Policies and Standards
- Planning and Organisation – Excellent organisational skills to manage delivery of multiple tasks within agreed timeframes
- Organisational awareness – Ability to see the ‘whole picture’ and recognise the impact and opportunities of activities across the organisation
- Graduate or post graduate qualification (MSc or PhD) in a numerate discipline such as Engineering, Mathematics, Physics, Economics, Finance or equivalent
36
Cat Modelling Analyst Resume Examples & Samples
- Calculate catastrophe exposure for all business segments and/or perils within responsibility assigned
- Validate data received from business segments and interpret best fit for catastrophe modelling
- Model perils outside the region of responsibility in line with globally defined best practices and assumptions
- Under guidance, support the implementation of a globally consistent best practice process for the data checking, preparation and modelling of all Cat exposures produced within the region
- Under guidance, support the implementation of best practice modelling approaches and assumptions for the perils within the region of responsibility
- Ensure Cat data requirements and key areas of data quality improvement are understood by business contacts
- Assist in providing modelled exposure, results and support to Group Reinsurance and other stakeholders
- Support projects on cat data management
- Numerate degree level qualification
- Further degree (Master’s, PhD, etc.) desirable
- Strong desire to acquire relevant knowledge
- Advanced ability to communicate complex results in a clear way to non-practitioners
- Experience preferably with RMS Risk Link experience (Catastrophe modelling software)
- Programming and database skills (at least knowledge of SQL Management Studio and Visual basics; higher programming language desirable)
37
Group Senior Capital Modelling Analyst Resume Examples & Samples
- Contributing to use of the model for capital allocation, risk appetite monitoring, operational risk modelling, reserving variability analysis, and analysing reinsurance options
- Performing validation and ensuring appropriate checks are performed within processes to minimise inaccuracies
- Building and maintaining relationships with internal stakeholders, including QBE Divisions, Actuarial, Investments, Finance and Risk
- Networking with QBE functions globally, so as to enable appropriate consistency of process and encourage the sharing and adopting of standard methodologies
- Part-qualified / qualified (Institute of Actuaries or equivalent body)
- Capital modelling experience advantageous, but other General Insurance actuarial backgrounds will be considered
- Understanding of industry best practice in actuarial analysis and modelling
- Strong Microsoft Office suite skills (Excel, Access, Word, PowerPoint)
- Ability to produce reports for technical audiences and senior management
38
Capital Modelling Analyst Resume Examples & Samples
- Supporting the development and maintenance of the global capital model, including prioritisation and implementation of proposed model developments and management of model releases
- Performing analysis to determine the capital needs of the business
- Crafting reports and presentations for internal management and regulators
- Networking with QBE Actuarial, Risk, Reinsurance and Exposure Management functions globally, so as to enable appropriate consistency of process and encourage the sharing and adopting of standard methodologies
- Part-qualified (Institute of Actuaries or equivalent body)
- General insurance experience (within capital, pricing or reserving) is advantageous, but other actuarial backgrounds will be considered
- Strong VBA, Access and SQL skills
- Ability to persuade and influence both directly and indirectly
39
Promo Modelling Analyst Resume Examples & Samples
- Rapid prototype new models in order to fast implement benefit streams
- Build and support development of production versions of models to release into sustaining organization
- Continuously proof and validate the Cause and Effect Relationship between promo attributes and results and the resultant Model by running test cases and error management strategies
- Work with the operational teams and potential software providers to develop and manage the production Models
- Identify areas where statistical modelling will improve business processes using Operations Research based techniques
- Build and deliver decision support tools
40
Whole Engine Modelling Analyst Resume Examples & Samples
- Architecting, evaluating and optimising the structural and dynamic design of the product. This is done at 3 levels: System Level: whole engine, Sub-system Level and Component Level
- Delivering optimised solutions at an engine architectural level, by executing structural and dynamic analysis with implicit and explicit Finite Element analysis techniques. The work undertaken can require external interactions with Airworthiness Authorities, Airframers and Airline customers as well a full range of internal stakeholder interactions
- Joining the Whole Engine Modelling (WEM) team you will use a variety of Finite Element tools to assess the mechanical behaviour of the engine and powerplant assembly. The main tool currently used is Nastran, combined with a variety of other in-house codes
- You will analyse the behaviour of the engine under both static (flight loads, mechanical deflections) and dynamic (vibration, FBO, etc.) conditions
- You will interfaces with a wide variety of internal customers, ranging from stress analysis team who use the loads produced as inputs to their analysis through to the airframers when assessing aircraft system level issues such as post FBO windmilling
- You will be responsible for a range of analysis that will be undertaken range from simple hand calculations & spread sheet based calculations to building and running complex 3D transient finite element (FE) models. You will get involved in the validation of these calculations against engine and rig data
- Qualified to degree level or equivalent, in an engineering, scientific or mathematical discipline
- Knowledge and understanding of running complex computer codes, driven by graphical user interfaces
- Interest in structures and mechanics, structural design, engineering analysis and design concepts
- You will want to extend your knowledge and understanding of these areas, be comfortable handling large amounts of data and running complex computer codes to model impacts on the whole engines
- You have the ability to manage several varied activities simultaneously, can work in a team-based environment, and have good written and verbal communication skills
- You will have experience of managing concurrent projects to a successful conclusion and you will have an application of sound technical background to problem solving
41
Aggregate Modelling Analyst Resume Examples & Samples
- Monitor XLC exposures against agreed perils & scenarios using catastrophe models and aggregation software
- Generate monthly and / or quarterly reports from the modelled data and corresponding results for multiple lines of business with varying degrees of complexity – single risks, large commercial risks with shared and layered policy participations, and delegated underwriting authority exposure (binders)
- Conduct monthly audits of bound account entries to ensure process adherence, identify training issues, and to verify proper capture of the policy terms in catastrophe modelling software (RMS). Communicate issues to Shared Services and track through to resolution
- Mine / query exposure (or results) data to assist in preparation of catastrophe portions of rating agency questionnaires and exposure & model reporting
- Provide catastrophe modelling support to underwriters to include the following
- Aid in their understanding of catastrophe risk, modelled output, modelling efforts / process, raw data interpretation/ preparation, and the sensitivities of catastrophe models
- Troubleshoot catastrophe model (RMS) results upon request
- Evaluate year over year differences in exposure and results
- Assist in portfolio organization of exposure data in RMS, ensuring that the datasets are accurate, up-to-date, and complete
- Assist with model upgrades, model testing, process updates, sensitivity testing, analyst training, and rollout material
- Ad hoc projects and other duties as assigned
- Catastrophe modelling experience, ideally being familiar with property risks
- Basic understanding of key insurance concepts, policy terms, and product offerings
- Strong computer and analytical skills
- Results and detail oriented with a desire to learn and contribute
- Working knowledge and experience using the following software / platforms
- RMS: RiskLink and RiskBrowser
- SQL and / or any programming experience - advantageous
42
Valuation & Business Modelling Analyst Resume Examples & Samples
- Bachelor's or Master's Degree in Business, Finance or Accounting with demonstrated aptitude in quantitative and qualitative analysis
- CA designation
- Strong financial modelling and analysis skills
- Ability to synthesize client's information and understand key business drivers
- Working knowledge of Canadian and International Finance and Accounting concepts and principles
- Ability to manage time spent against budget, and work alongside team members to ensure the timely completion of work deliverables
- Strong written and verbal communication and presentation skills
- PC proficiency including MS Excel, Word, and PowerPoint
43
Modelling Analyst Resume Examples & Samples
- Review resulting statistical forecast model and apply error analysis techniques to improve forecasting; Monitor trends in forecast error
- Update system with new item set up and item discontinuation based on direction of Demand/Supply Planners
- Execute other what-if modeling activities, gather and analyze results, and share key impacts with stakeholders
- Support Demand/Supply Planners in gathering data for root cause analysis
- Consolidate Market Demand Plan and provide to Market Demand Manager
- Summarize/aggregate statistical forecasts and generate ad hoc reports based on requests from Supply Planning Managers or Category Demand Planning Managers
- Functional Work Experience (Demand Planning, Sales and Operations Planning (S&OP), Integrated Business Planning (IBP), Forecasting)
- Full Operational experience of SAP ECC / APO (preferred) or other Advanced Planning Systems through formal training & experience. Fully versed on Microsoft Office tools (Word, Excel, PowerPoint)
- Ability to evaluate different supply chain scenarios / trade-offs
- Full understanding of parameter settings and their implications
- Significant Mathematical modeling experience
- APO full competency
- English mandatory
44
Aggregate Modelling Analyst Resume Examples & Samples
- Produce monthly reports detailing how the portfolio is utilising budgets. Provide results to underwriting teams and for group consolidation
- Experience in catastrophe risk modelling, ideally being familiar with modelling/aggregation of man-made perils e.g. Terrorism, Accident & Health, Aviation, Pandemic etc
- Ability to work with stakeholders to develop new aggregation approaches for new product offerings
- Develop new scenarios as required by the various regulatory agencies as well as report current suit of scenarios
- Strong understanding of terrorism exposure management across multiple exposure classes
- Experience with terrorism modelling, particularly RMS’s Probabilistic Terrorism and RiskLink models would be advantageous
- Strong understanding of ceded reinsurance structures and the ability to incorporate into modelling/aggregation management
- Solid understanding of key insurance/reinsurance concepts and product offerings
45
Modelling Analyst Resume Examples & Samples
- The initial task will be to build an application scorecard for vehicle finance
- Building further models for application and the portfolio
- To assist with Portfolio Management, and production of MI
- Monitoring the risk/reward profile of the portfolio, analysing and proposing changes as appropriate
- Managing the deployment and supporting infrastructure for multiple pricing channels and models
- Working closely with the Acquisition team to manage the lending profile in order to meet the business’ financial targets
- Good degree in a numerical subject
- Proficient with Excel, Word and PowerPoint
- Experience of using SAS
- Experience of credit risk analytics Essential
- Working knowledge of the full credit risk lifecycle
- Strong planning and organisation skills
46
Modelling Analyst Resume Examples & Samples
- Independent Execution of consulting projects in the space of marketing mix modelling
- Build and share expertise on different mix modelling topics within the team and beyond
- Proactively identify opportunities to improve modelling practices and processes
- Develop and maintain effective cooperation with peers and other teams (i.e. commercial teams)
- Master degree in statistic, mathematics, economics, econometrics or another numerate discipline
- Professional experience in econometric modelling (least 2 years)
- Passion for data, analytics and new technologies
- Autonomous & Curious (Huge willingness for learning and discovering new areas)
- Strong Project & Time Management
- Nice to have: experience in FMCG sector, knowledge of SAS, R or Python, Spark
47
Modelling Analyst Resume Examples & Samples
- Education related to statistics, mathematics, economics, econometrics, engineering
- Functional Work Knowledge (Demand Planning, Sales and Operations Planning (S&OP), Integrated Business Planning (IBP), Forecasting Methodologies
- Full Operational knowledge of SAP ECC / APO (preferred) or other Advanced Planning Systems through formal training & experience in statistical software (ie. R, Matlab, Eviews, Stata, SPSS, SAS, Oxmetrics, Gauss, Minitab)
- Advanced English mandatory, Portuguese is a plus
