Modeling Associate Job Description
Modeling Associate Duties & Responsibilities
To write an effective modeling associate job description, begin by listing detailed duties, responsibilities and expectations. We have included modeling associate job description templates that you can modify and use.
Sample responsibilities for this position include:
Modeling Associate Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Modeling Associate
List any licenses or certifications required by the position: AALAS
Education for Modeling Associate
Typically a job would require a certain level of education.
Employers hiring for the modeling associate job most commonly would prefer for their future employee to have a relevant degree such as Master's and Bachelor's Degree in Statistics, Mathematics, Economics, Finance, Computer Science, Engineering, Education, Business, Science, Accounting
Skills for Modeling Associate
Desired skills for modeling associate include:
Desired experience for modeling associate includes:
Modeling Associate Examples
Modeling Associate Job Description
- Participate in development, prioritization and delivery of execution strategies including identification and coordination with other existing programs, identification of critical resources
- Help identify, scope, and drive data quality remediation across critical firm-wide data issues through strategy development and execution
- Produce effective executive reports, project metrics and status reports when necessary
- Participate and collaborate in work streams, governance meetings and ad hoc working sessions
- Participate in issue management and resolution
- Help design and enhance risk models used for regulatory capital modeling (Basel/CCAR)
- Designing, developing, implementing, and validating statistical models and segmentation for the bank's credit / debit card/auto/mortgage business
- Perform data extraction, sampling, and statistical analysis/modeling using linear regression, logistic regression, time series analysis/forecasting, multivariate analysis
- Provide and present model results, insights and recommendation to senior management and partners using MS Office
- Partner with internal teams to implement models/segments/tools into system and to support business execution and/or analytics on revenue growth and loss control will be responsible
- Create ad-hoc reports and documentation to support business needs
- Participate and lead information gathering sessions
- Assist the Modelers with the ongoing testing, maintenance, and implementation of developed models
- 5 years of Economic Capital and / or quantitative credit risk modeling experience within a commercial bank or in an advisory capacity
- Master’s degree in a quantitative and analytical discipline
- Strong communication skills including the ability to explain complex concepts to broad audiences
Modeling Associate Job Description
- Work with model developers to review model documentation and create detailed model development and review plans
- Ensure that all models reviewed are appropriately categorized by risk tier and are in compliance with regulatory requirement
- Translate business needs into quantitative analyses and tools
- Develop financial models for commercial real estate, commercial real estate backed securities and collateralized loan obligations
- Conduct model development through statistical analysis on large datasets
- Perform back-testing of commercial real estate, commercial real estate mortgage backed securities and collateralized debt obligations credit risk models
- Maintain and support of our existing models
- Provide modeling, model validation and analytical supports to internal and external clients
- Develop visualization tools to improve transparency for the existing and new models
- The Consultant will be responsible for working with the existing Managerial Cost Accounting/Cost Modeling team to develop an understanding of ICE's cost model, and contribute to the development, maintenance and documentation of that model
- Strong ability to influence peers, partners throughout the company, and executives
- Must partner with business units in making strategic choices and investment decisions
- Utilize graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, neural network, principal components analysis, time series analysis, panel data analysis and
- Good data knowledge on Investment Banking and/or Asset Management data
- Familiarity and experience with data preparation and processing – such as assessment of data quality, new variable creation, variable selection
- Data Management and/or Reference Data experience preferred
Modeling Associate Job Description
- The Consultant will be expected to think critically about existing work products and bring creative solutions to the development of new cost models, capabilities and reports
- Candidate will be responsible for working with the existing Managerial Cost Accounting/Cost Modeling team to develop an understanding of ICE's cost model, and contribute to the development, maintenance and documentation of that model
- Candidate will be expected to develop supporting technical skillsets in the form of CostPerform cost modeling software, MS Excel/Office suite and Tableau data visualization software
- The Candidate will be expected to develop excellent communication (oral and written) skills to engage with Executive level clients at the Office of Budget and within ICE Mission Programs
- Candidate will be expected to think critically about existing work products and bring creative solutions to the development of new cost models, capabilities and reports
- Candidate will be expected to cross-train on other ICE OBPP workstreams, understanding the inter-dependencies of work products throughout the Budget Lifecycle
- Candidate may be asked to spend time working with team members and clients outside of the traditional Managerial Cost Accounting or cost modeling workstream at the clients discretion
- Develop computational predictive models of gene regulation and metabolism using advanced statistical modeling and machine learning approaches
- Process large-scale genomic data sets
- Interact with wet-lab scientists and collaborators to generate experimental data and validate model predictions
- Ability to help drive change
- Financial modeling experience in consulting domain
- 4+ years of related energy industry experience or Master's Degree engineering, business esp
- Master’s Degree in finance/ Chartered Accountant/ CFA
- Energy regulation experience at central or state level
- Proficient in MS Office’s PowerPoint, Word, Excel, and Pivot Table
Modeling Associate Job Description
- Participation in financial advisory assignments in merit and administrative aspects
- Pursuing ACCA or other professional certification
- Perform routine culturing and cloning of mammalian tissue culture cells
- Perform DNA, RNA, and protein extractions
- Design, execute, and control experiments according to protocols
- Develop new methods and apply troubleshooting tactics when needed
- Perform laboratory calculations and manipulations independently
- Communicate experimental results, conclusions and ideas directly to supervisor, project team members, and management in presentation form
- Provides departmental leadership in support of research goals established for Drug Discovery Support
- Responsible for building a state-of-the-art In Vivo ADME and PK/PD section
- Minimum 3+ years of relevant analytics/modeling experience or solid advanced academic researches
- Knowledge and experience developing Fraud Models using regression (Logistic, Decision tree, time series, ), pattern recognition and/or data mining techniques
- Excellent written and oral communication skills to clearly present analytical findings and make business
- Prior experience in mentorship/ managing 1-3 people
- Three+ years’ experience in quantitative credit risk modeling, with experience with commercial or small business lending portfolio preferred
- Five+ years’ experience in quantitative credit risk modeling, with experience with commercial or small business lending portfolio preferred
Modeling Associate Job Description
- Functions as an acknowledged resource and technical leader within and outside of the department in a specific project-relevant area and technology
- Compile and write preclinical PK/TK assessments for IND filing
- Develop PK models for FIH in support of IND filing
- Prepare DMPK-BA sections of regulatory documents
- Provide strategic planning, evaluate and implement innovative and quantitative approaches for translational modeling across Oncology Discovery and Development project
- Collaborate and build strong internal network with DMPK-BA, discovery and clinical teams to enable knowledge and data integration to enable target validation, biomarker selection, candidate selection, guidance in (pre)clinical study design, human dose prediction, calculation of therapeutic index
- Serve as a DMPK representative in Discovery and Development project teams, coordinate and request PK, PKPD, an bio-analytical (BA) studies in a timely manner and communicate protocols, timelines, needs and results back to team, ensuring optimized cycle times
- Serve as a liaison with the small and large molecule BA groups to ensure reagent generation, method development and sample analysis timelines are met
- Level and compensation will be commensurate with experience
- Apply current state of the art molecular cloning techniques to construct targeting vectors and expression vectors
- Experience modeling within financial services a plus
- Previous experience supporting regulatory examinations is preferred
- A minimum of 3 years of hand-on modeling experience for masters (at least 1 year for PhD) in areas of linear regression, logistic regression, multinomial regression, multivariate analysis, discriminant analysis, principal components analysis/factor analysis, time series analysis, and panel data analysis
- Experience in credit modeling across various consumer products risk management and Business Insights in banking is preferred
- Graduate degree and experience in either computer science or a quantitative discipline
- A graduate level education with a focus on statistics, econometrics, economics, finance, financial engineering, mathematics, engineering or other related quantitative fields