Computer systems analysis/Programming, Data analysis/processing, Data collection procedures
Quantitative Analytics Senior
Req Number: 10689BR
Freddie Mac’s Single Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of quantitative/analytic models and applications in support of business and risk decisions as a member of the Default Costing Model Team.
Your Work Falls Into Three Primary Categories:
Model Development and Research
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
Developing and validating loss forecasting models, conducting research on enhancements to the existing models, and applying industry best practices and techniques to meet various business needs
Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results
Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical expert.
Working under limited direction, independently determining and developing approach to solutions.
Doctorate degree (or Master's degree with equivalent work experience) in quantitative finance, statistics or a related quantitative field.
Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include--but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include--but are not limited to--Python, R, SQL, Java, SAS, and MATLAB.
Key to Success in this role
Exceptional quantitative, empirical analysis, and research skills
Strong knowledge of econometric models, tools and techniques
Strong programming skills
Good communication skills
Top 3 Personal Competencies to possess
Drive for Execution – Execute effectively with a clear direction and objective, good ownership
Growth and Development – Know and learn what is needed to deliver results and successfully compete
Seek and Embrace Change – Continuously improve work processes rather than accepting the status quo
Strong programming skills in SAS, SQL and Unix.
Experience with programming language such as Python and R
Experience working with large data sets and relational database
Experience working with mortgage or consumer credit risk models, prepayment models and severity models
Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
Experience in data science, machine learning and related technologies
Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others. Freddie Mac is an equal opportunity and top diversity employer. EOE, M/F/D/V.
Internal Number: 10689BR
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