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Position Overview:
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 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. Apply now and learn why there’s #MoreAtFreddieMac!
Our Impact:
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 model inventory system collaboratively with model owners, key assessors and users.
Qualifications:
Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
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 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. 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.
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time FLSA Status:ExemptFreddie 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 $143,000 - $215,000 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.
