Quantitative Analytics Senior Resume Samples

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Anibal

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1808 Lewis Dale

New York

+1 (555) 255 7366

1808 Lewis Dale

New York

Phone

p +1 (555) 255 7366

Experience Experience

Phoenix, AZ

Quantitative Analytics Senior

Phoenix, AZ

Jaskolski LLC

Phoenix, AZ

Quantitative Analytics Senior

Generate complex statistical analyses using large data sets
Write and update model documentation by working with model users and other stakeholders
Coordinate the testing through the model implementation, conducting back tests to monitor the model performance, performing sensitivity tests to validate the model results
Develop models on PD and LGD for use in DFAST and risk management processes
Manage model applications, create analysis and interpret model output and conduct research related to the credit loss forecast methodology
Execute models and develop credit loss forecast, under various economic scenarios and including those under Dodd-Frank Act Stress Test (DFAST)
Quickly frame analytic problems/issues, solve them by modeling risk simulation scenarios using statistical analysis, and package results, often under tight deadlines

Boston, MA

Quantitative Analytics Senior

Boston, MA

Abernathy LLC

Boston, MA

Quantitative Analytics Senior

Developing analytical methods and quantitative models for market and credit risks of new and existing financial and mortgage products/portfolio
Implementing strategic policies when selecting methods, techniques, and evaluation criteria for obtaining results
Reviewing and updating model documentation (model performance, user guide, policy documents, etc.); developing validation reports based on rigorous theoretical and analytical reviews of models
Familiar with regression models, stochastic process modeling, and Monte-Carlo simulation
Develop analytical models and methods used to value and hedge mortgage securities and loans
Provide modeling, analytical, and data support to trading desks
Work under limited direction, independently determining and developing approach to solutions

present

Houston, TX

Quantitative Analytics Senior A

Houston, TX

Towne, Schaden and McGlynn

present

Houston, TX

Quantitative Analytics Senior A

present

Create and implement algorithms in graph and network analysis
Providing modeling and analytical support to a line of business or product area
Writing and updating model documentation by working with models’ users and other stakeholders
Working with Model Validation and Audit during periodic evaluations of model design, use and implementation
Apply Data Mining/Machine Learning algorithms to solve business problems
Expert of Data Mining, Machine Learning and related algorithms
Conducting complex data and statistical analysis on both model inputs & model outputs

Education Education

Master’s Degree in Economics

Carnegie Mellon University

Master’s Degree in Economics

Skills Skills

Detail oriented. Excellent communication skills (verbal and written)
Strong knowledge of econometric models, tools and techniques
Strong analytical skills with orientation to detail
Good writing skills and strong interpersonal and communication skills
May perform detailed model validation reviews, establishing performance thresholds, researching model approaches, creating alternative models and other means
Substantial knowledge and experience with forecasting economic or financial markets
Substantial knowledge of financial instruments, market structure, macroeconomic theory, and monetary policy
Working knowledge of Excel, PowerPoint, Visio
Comfortable working with large data sets
Demonstrated knowledge of stochastic calculus and one or more of valuation models, term structure models, and economic capital models

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Quantitative Analytics Senior Resume Examples & Samples

Master’s degree in Economics, Finance, Statistics or related field or Bachelor’s degree plus 5 years relevant work experience (in economics, finance, or the mortgage industry)
Strong written and oral communication skills and experience with quantitative analysis (e.g. statistics/econometrics)
Excellent written and verbal communication skills; ability to extract larger themes while providing concise, articulate, and insightful analysis in both written and verbal form
Ability to succinctly communicate industry and company performance, key implications and trends
Strong interpersonal skills and ability to interact and collaborate effectively with team members, peers, senior management, and external parties
Ability to analyze complex market issues, make decisions quickly, and respond under pressure
Strong attention to detail and ability to anticipate and resolve issues as they arise
PhD in Economics, Finance, Statistics, or related field
Experience in mortgage finance or real estate
Proven ability in working with and understanding economic and financial data
Substantial knowledge of financial instruments, market structure, macroeconomic theory, and monetary policy
Familiarity with mortgage-related markets and/or financial market transactions
Substantial knowledge and experience with forecasting economic or financial markets
Familiarity with time series econometrics and macroeconomic forecasting models

Quantitative Analytics Senior Resume Examples & Samples

PhD in Economics, Statistics, or a directly related quantitative field or MS with at least three years of related post-graduate work experience
Strong programming skills in statistical programming languages such SAS, R, and Matlab
Experience in using complex statistical models such as Generalized Additive Models, transition models, and logistic regression
Programming experience with SAS, R and Matlab
Experience with competing-risk hazard models and transition-based models
Experience working with large data sets

Quantitative Analytics Senior Resume Examples & Samples

Advanced degree (PhD, Masters) in a quantitative discipline (data science, statistics, computer science, economics/econometrics, applied mathematics, operational research, physics, bioinformatics, engineering, etc.) or a Bachelors degree with equivalent experience
Experience using Hadoop and related technologies (Spark, Hive, etc.)
Experience querying relational databases via SQL Experience querying relational databases via SQL

Quantitative Analytics Senior Resume Examples & Samples

Developing analytical methods and quantitative models for market and credit risks of new and existing financial and mortgage products/portfolio
Implementing strategic policies when selecting methods, techniques, and evaluation criteria for obtaining results
Reviewing and updating model documentation (model performance, user guide, policy documents, etc.); developing validation reports based on rigorous theoretical and analytical reviews of models
At least 3 years of financial modeling related work experience and an advanced degree (PhD preferred) in Economics, Finance, Statistics, Engineering, or a directly related quantitative field
Programming experience with C++ or Matlab
Familiar with regression models, stochastic process modeling, and Monte-Carlo simulation
Asset-liability management (ALM) experience
Experience with valuation and risk analytics of fixed-income products, e.g., mortgage backed securities
Experience related to accounting practice

Quantitative Analytics Senior Resume Examples & Samples

Develop analytical models and methods used to value and hedge mortgage securities and loans
Provide modeling, analytical, and data support to trading desks
Work under limited direction, independently determining and developing approach to solutions
Generate complex statistical analyses using large data sets
Write and update model documentation by working with model users and other stakeholders
Coordinate the testing through the model implementation, conducting back tests to monitor the model performance, performing sensitivity tests to validate the model results

Quantitative Analytics Senior Resume Examples & Samples

Develop models on PD and LGD for use in DFAST and risk management processes
Manage model applications, create analysis and interpret model output and conduct research related to the credit loss forecast methodology
Execute models and develop credit loss forecast, under various economic scenarios and including those under Dodd-Frank Act Stress Test (DFAST)
Research and analyze key drivers related to loss reserves and credit loss forecast. Manage and execute existing data preparation processes
Perform ad hoc analysis to identify risk and work on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends
Bachelors degree or equivalent experience; advanced studies/degree preferred with a least 5 years related experience
OR MS in Economics, Statistics, or a directly related quantitative field with at least 3 years of related post-graduate work experience in quantitative finance
PhD in economics or statistics
Knowledge of Single Family mortgage business and/or servicing

Quantitative Analytics Senior Resume Examples & Samples

Report findings to model owners and management, and ensure those findings are addressed appropriately
Working with model developers and users to manage model risks
PhD in Finance, Computational Finance, Economics, Mathematics, Physics, Statistics or a directly related quantitative field
OR MS in Financial Engineering, Economics, Statistics, Quantitative Finance, or a directly related quantitative field with at least 3 years of related post-graduate work experience in quantitative finance or risk management
Demonstrated knowledge of stochastic calculus and one or more of valuation models, term structure models, and economic capital models
Programming skills in one or more of SAS, MATLAB, C++, or related languages

Quantitative Analytics Senior Resume Examples & Samples

Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products
Providing innovative, thorough and practical solutions to an extensive range of demanding and complicated problems
Working under limited direction, independently determining and developing approach to solutions
At least one year of experience in model development including logistic regression
Strong programming skills in SAS
Strong knowledge of econometric models, tools and techniques
Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
Experience working with consumer credit risk models, i.e. mortgage, credit card, or automotive

Quantitative Analytics Senior Resume Examples & Samples

Detailed review of models related to residential mortgage loans, securities and structured products
PhD in Economics (preferably Micro or Econometrics), Statistics, Computational Finance or a related quantitative field such as physics or engineering
OR MS in Economics, Statistics, Quantitative Finance, or a directly related quantitative field with at least 3 years of related post-graduate work experience in quantitative finance or risk management
Experience with parameter estimation methods
Excellent econometric modeling and SAS programming skills
Demonstrated knowledge of development and/or validation statistical or econometric models
Experience with one or more of multinomial logistic regression techniques, hazard models, stochastic calculus, or knowledge of mortgage analytics
Previous modeling related research or internships, in addition to significant coursework and post-doctoral research in quantitative fields

Quantitative Analytics Senior Resume Examples & Samples

Support the group’s mortgage quantitative research initiatives and utilize economic capital models to assess asset-specific and portfolio risk
Use existing corporate models and quantitative approaches to assess risk of portfolio holdings
Support development of capital allocation for new products and initiatives, by utilizing various approaches including sensitivity analyses, stress testing, value-at-risk, scenario testing, and Monte Carlo simulations
Support maintenance of group’s models per established corporate and department model governance policies and procedures
Develop documentation of department’s models and procedures
Strong background in developing computing models that apply sophisticated analytical techniques . Ability to extract and analyzing raw data and statistical model output draw conclusions and make actionable recommendation
At least 7 years of functional and industry experience in quantitative risk modeling
Technically and quantitatively oriented with proven ability to thoroughly understand external technical research
Solid understanding of the fixed income market and securities
Advanced statistical programming skills (Matlab, Mathematica, SAS or similar) plus advanced knowledge of Microsoft Excel
Understanding of mortgage credit default and prepayment models and loss mitigation activities
Working knowledge on mortgage and insurance industry
Exposure to Basel or Solvency II regulatory capital requirements
Good presentation skills

Quantitative Analytics Senior Resume Examples & Samples

Developing analytical approaches that measure credit risk and economic capital in multifamily debt investments and commercial mortgage products
Leveraging quantitative abilities – both data management and statistical analytic s – to provide analytical support to the multifamily mortgage business
PhD in Economics, Statistics, or a directly related quantitative field and at least one year of previous data analysis related work or internships, in addition to significant coursework and research in quantitative fields
Good communication, interpersonal, and teamwork skills
Experience working with consumer credit risk models, i.e. mortgage, credit card, automotive, or other consumer lending models
Strong preference for applicant with a sound real estate finance and economics experience / background

Quantitative Analytics Senior A Resume Examples & Samples

Implement the applicable Machine Learning or statistics based algorithm for prediction and optimization and deliver the trained model to production
Create and implement algorithms in graph and network analysis
Ph.D. in Computer Science or equivalent field
At least 2 years of experience in machine learning
Experience with Graph/Network analysis
Experience with Hadoop stack (HIVE, Pig, Hadoop streaming) and MapReduce
Expert of Data Mining, Machine Learning and related algorithms
Proficient in two of the languages: Java, Python, Scala, C++, C#
Independent/innovative thinking
Industrial experience in quantitative finance

Quantitative Analytics Senior Resume Examples & Samples

Bachelor’s degree or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, computer science or related quantitative discipline followed by five (5) years of experience with economic and/or financial modeling, which includes experience with: modern econometric/statistics estimation techniques; programming in SAS,R ,Matlab and/or C++; and, working with large data sets OR
Master’s degree or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, or computer science or related quantitative discipline and three (3) years of experience with economic and/or financial modeling, which includes experience with: modern econometric/statistics estimation techniques; programming in SAS, R, Matlab and/or C++; and, working with large data sets OR
Ph.D. or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, or computer science or related quantitative discipline and demonstrated knowledge of economic and/or financial modeling, including: modern econometric/statistics estimation techniques; programming in SAS, R, Matlab and/or C++; and, working with large data sets. Knowledge may be demonstrated through education, training and/or hands-on experience
Experience building and/or validating econometric models
Knowledge of or experience in capital markets, asset and liability management, general understanding of primary and secondary mortgage market, or counterparty risk
Big 4 consulting or auditing experience
Familiarity with the role of Internal Audit and SOX controls

Quantitative Analytics Senior Resume Examples & Samples

Develop, use and/or analyze quantitative models that assess the market, credit and/or operational risks of new and existing financial and mortgage products or portfolios to support business and risk decisions
Develop, validate or evaluate model input, methodology, implementation and output of models or analytic applications
May plan, execute, and document complex financial models
May provide model use risk assessments based on findings
Evaluate and manage risks associated with the company's models and/or model applications
May perform detailed model validation reviews, establishing performance thresholds, researching model approaches, creating alternative models and other means
May explain to stakeholders how a model and model process operates, what risks are inherent in the model or model process, and what controls exist to mitigate those risks
May interact with senior customer personnel on significant technical matters frequently requiring coordination across organizational lines
Bachelor’s degree or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, computer science or related quantitative discipline followed by five (5) years of experience with economic and/or financial modeling, which includes experience with: modern econometric/statistics estimation techniques; programming in SAS,R ,Matlab and/or C++; and, working with large data sets
Experience with programming language such as Python, R, Matlab, VBA, Java and C++ or related languages
Good communication, interpersonal skills

Quantitative Analytics Senior Resume Examples & Samples

Master’s degree in Economics, Finance, Statistics or related field plus 5 years of relevant work experience (in economics, finance, or the mortgage industry)
Experience with data analysis, statistical modeling, and/or financial valuation
Familiarity with cross-sectional and panel econometrics
Experience with specific programming languages, such as SAS and R, is highly desirable, but not required. Experience in UNIX and the ability to use software to create, modify, and access databases is also desirable

Quantitative Analytics Senior Resume Examples & Samples

Evaluates the design and operating effectiveness of model policies, standards, and model development procedures
Evaluates how effectively model controls are designed and operating and use this information to test the process, document work papers, make recommendations for improvements, and draft reports detailing the team’s conclusions
Operates independently and is the primary person responsible for immersing themselves in a process or group of processes
Must be able to explain, after a relatively short time, how a model process operates, what risks are inherent in the model process, what controls exist to mitigate those risks
Assists in preparing project planning and closure documents
Supervises the day to day operations for a single project, including an audit, follow up, or pre-implementation review
Supports a team of PhD economists or mathematicians in evaluating model risk
Working knowledge of Excel, PowerPoint, Visio
Good writing skills and strong interpersonal and communication skills
Interest in developing quantitative, empirical analysis, research and computer programming skills
Interest in or completing an economics or quantitative graduate degree
CIA certification
Modeling technical skills at the Master’s level
Willingness to learn basic modeling concepts

Quantitative Analytics Senior Resume Examples & Samples

Ongoing monitoring of model performance including back-testing, benchmarking, stress-testing and the assessment of model assumptions, limitations and input data quality
Independent validation of model and model-related code, data and process
Ad-hoc analysis involving new models, model changes, model performance, the Retained portfolio and data sources used for model estimation and testing
Assist, when necessary, in the drafting of model documentation including developer and user guides, change management memos and data dictionaries
Impact analysis (to the Retained portfolio) of model changes, on-top adjustments, forecast updates and methodological changes
Testing of new databases, connectivity protocols and analytical tools in the Enclave (big data) environment, including validation of new table schemas and data loads
Present ongoing monitoring and analysis at meetings of model community
Master’s/Bachelor’s degree in applied mathematics, economics, statistics, computer science, finance or related quantitative discipline and three/at least five (3, 5+) years of experience with economic modeling which includes experience with logistic regressions, hazard models and modern econometric/statistics estimation techniques
Experience programming in SAS and SQL
Experience programming in R, Python or Matlab
Experience with scripting in Linux and Windows
Experience with reporting and data visualization tools such as Tableau
Experience working with prepayment, default, interest rate and HPA models
Experience using the Workbench tool specifically the Mortgage Pricer application
Experience with the Green Package management information system including Anser
Experience using the eMBS, Core Logic and Atlas databases

Quantitative Analytics Senior A Resume Examples & Samples

Creating counterparty credit risk models related to estimation of probability of default (PD), Exposure at Default and Loss given default (LGD) to generate Ratings of financial institutions in normal and stress conditions (DFAST)
Updating/calibrating existing models
Writing and updating model documentation by working with models’ users and other stakeholders
Providing modeling and analytical support to a line of business or product area
Working with Model Validation and Audit during periodic evaluations of model design, use and implementation
Conducting complex data and statistical analysis on both model inputs & model outputs
Implementing enhancements or changes to models, working with IT, as appropriate
Understanding Freddie Mac’s internal Counterparty rating philosophy and methodological choices
Understanding the logic and math of the rating and exposure models, as well as the data that goes into them
Ph.D. or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, or computer science or related quantitative discipline and demonstrated knowledge of economic and/or financial modeling, including: modern econometric/statistics estimation techniques; programming in SAS, SQL, R, Matlab and/or C++; and, working with large data sets. Knowledge may be demonstrated through education, training and/or hands-on experience
Master’s degree or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, or computer science or related quantitative discipline and three (3) years of experience with economic and/or financial modeling, which includes experience with: modern econometric/statistics estimation techniques; programming in SAS, SQL, R, Matlab and/or C++; and, working with large data sets; OR
Solid quantitative, empirical analysis, and research skills
Strong economic/business intuition
Strong programming skills in statistical programming languages such as SAS, SQL, VBA. Knowledge of other languages such as R, Python and/or Matlab is a plus
At least two years of previous commercial credit risk modeling developing Commercial probability of default (PD), Loss Given Default (LGD), and Exposure at default (EAD) models, building counterparty Scorecards or DFAST/CCAR commercial risk models
Strong understanding of commercial finance products and risk management practices
Experience in using complex statistical models
Knowledge of Freddie Mac data and business is preferred but is not required
Ability to conduct independent research and work with limited supervision

Quantitative Analytics Senior Resume Examples & Samples

Data Engineering
Bachelor’s or Master’s degree in Statistics, Economics, Business, Mathematics, Computer Science or related field
5+ years of experience in processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs)
3+ years of programming experience in at least 2 - R, Python, Spark, Java for data processing and analysis
2+ years of experience – using Hadoop platform and performing analysis. Familiarity with Hadoop cluster environment and configurations for resource management for analysis work
Use of analytical and statistical functions (Standard deviation, decision trees) is preferred
Strong quantitative, analytical, and problem-solving skills
Detail oriented. Excellent communication skills (verbal and written)
Must be able to manage multiple priorities and meet deadlines

Quantitative Analytics Senior Resume Examples & Samples

PhD or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, or computer science or related quantitative discipline and demonstrated knowledge of economic and/or financial modeling, OR
Master’s degree or foreign equivalent in data science, applied mathematics, economics, physics, econometrics, finance, engineering, statistics, or computer science or related quantitative discipline and three (3) years of experience with economic and/or financial modeling
3+ years of training in and/or experience with data science, statistics, and/or machine learning
1+ years of training in and/or experience programming in either R or Python
1+ years of training in and/or experience using Hadoop and related technologies (Spark, Hive, etc.)
Experience with and/or training in text mining for predictive analytics

Quantitative Analytics Senior Resume Examples & Samples

Use techniques from statistics, machine learning, and other data sciences to review predictive models with a growing variety of features (numeric, categorical, geographic, textual, or images)
Visualize data to communicate complex patterns to executives and business users
Develop In-depth knowledge of mortgage analytics
Responsible for evaluating risk associated with the company's models including models of default, prepayment, loan scoring, valuation, derivatives, interest rates, stress testing and counterparties
Conduct a detailed risk assessment, design and execute operational and technical audit procedures to provide assurance on controlled model development, on-going monitoring and business use
Provide thought leadership on key initiatives including execution of model risk management framework and quality improvement program
Provide instruction in data science concepts to other members of the MDA team
Develop strong working relationships with Data Science personnel in other areas of the business
PhD or foreign equivalent in statistics, data science, economics, finance, computer science or related quantitative disciplines with 2-3 years of experience
Master’s degree or foreign equivalent in statistics, data science, economics, finance, computer science or related quantitative disciplines with 4-6 years of experience
Possess expert knowledge of applied computer programming, preferably R, Python, SAS, MATLAB, and SQL
Working knowledge of Java and C++ preferred
Familiarity with outlier detection, cluster analysis, and global sensitivity analysis
Eagerness to adapt new data science techniques to improve data efficiency and effectiveness
Possession or willingness to pursue certifications in Internal Audit (CIA, CPA, CISA)