Freddie Mac
Quantitative Analytics Senior
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Freddie Mac's Enterprise Risk Management Division is currently seeking a Quantitative Analytics Senior to join the Enterprise Model Risk Department. The Enterprise Model Risk Department is responsible for model risk oversight including development, validation, implementation and monitoring across multiple risk types (credit risk, market risk, counterparty risk, etc.). This Quantitative Analytics Senior will be a member of the model validation team. The main responsibility of the team is to provide effective challenge, provide oversight and manage risks associated with the use of the company's models. The team is responsible for validation of models for the Multifamily business and related corporate functions, including related model risk management activities throughout the model life cycle. Your Impact: Perform independent validation to evaluate model risks related to the design and conceptual soundness of the model, including all key steps in the model development process, such as selection of methodology, data, sampling, segmentation, model diagnostics, model performance and outcome analysis, model overlay, and ongoing monitoring. Report findings to model owners and management and ensure those findings are addressed appropriately and timely. Prepare validation documentation in compliance with applicable policy, standards and procedures. Manage validation projects in the model inventory system collaboratively with model owners, key assessors and users. Qualifications: Doctorate degree (or Master's degree with 3 years of equivalent work experience) in quantitative finance, statistics, econometrics, or a related quantitative field. Coursework or work experience applying predictive modeling techniques, valuation approaches, and risk measurements from finance, statistics, economics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may includebut is not limited tostatistics, 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 includebut are not limited toPython, R, SQL, Java, SAS, and MATLAB. Proficiency in programming languages such as C/C++, Java, Python, R, SAS. Keys to Success in this Role: Deep curiosity to learn with critical thinking. Strong verbal and written communication skills. Ability to work under limited direction independently to identify issues and solve problems. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $125,000 - $187,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Freddie Mac's Enterprise Risk Management Division is currently seeking a Quantitative Analytics Senior to join the Enterprise Model Risk Department. The Enterprise Model Risk Department is responsible for model risk oversight including development, validation, implementation and monitoring across multiple risk types (credit risk, market risk, counterparty risk, etc.). This Quantitative Analytics Senior will be a member of the model validation team. The main responsibility of the team is to provide effective challenge, provide oversight and manage risks associated with the use of the company's models. The team is responsible for validation of models for the Multifamily business and related corporate functions, including related model risk management activities throughout the model life cycle. Your Impact: Perform independent validation to evaluate model risks related to the design and conceptual soundness of the model, including all key steps in the model development process, such as selection of methodology, data, sampling, segmentation, model diagnostics, model performance and outcome analysis, model overlay, and ongoing monitoring. Report findings to model owners and management and ensure those findings are addressed appropriately and timely. Prepare validation documentation in compliance with applicable policy, standards and procedures. Manage validation projects in the model inventory system collaboratively with model owners, key assessors and users. Qualifications: Doctorate degree (or Master's degree with 3 years of equivalent work experience) in quantitative finance, statistics, econometrics, or a related quantitative field. Coursework or work experience applying predictive modeling techniques, valuation approaches, and risk measurements from finance, statistics, economics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may includebut is not limited tostatistics, 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 includebut are not limited toPython, R, SQL, Java, SAS, and MATLAB. Proficiency in programming languages such as C/C++, Java, Python, R, SAS. Keys to Success in this Role: Deep curiosity to learn with critical thinking. Strong verbal and written communication skills. Ability to work under limited direction independently to identify issues and solve problems. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $125,000 - $187,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.