McLean, Virginia, USA
195 days ago
Quantitative Analytics Senior Tech Lead (Hybrid - 3 Days in Office)

At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:

Are you curious and analytical? Do you want to expand and refine your quantitative skills? We need someone willing to learn the meta-mortgage game from origin to end. Someone to master analytic methods of collateral valuation and support evaluating Freddie Mac’s competitive position in the mortgage market. If you are determined, self-motivated and persistent in the pursuit of understanding, then apply today to our Costing Analytics Team! Freddie Mac’s Pricing & Costing Analytics group within the Single-Family Division is seeking a Senior Quantitative Analytics Lead to help manage a team responsible for supporting new and existing business initiatives/offerings, pricing and valuation. This position will be responsible designing analytical approaches to effectively answer business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations by analyzing and using various very high- and high-risk corporate credit models.

Our Impact:

Our team is responsible for providing Pricing/Costing Analytics to support new business guarantee fee pricing decisions.

Innovate based on market behaviors while efficiently analyzing, mitigating, and clearly defining credit risk and/or prepay risk.

Evaluating the overall story and making decisions on the credit risk profile and/or borrower prepay behavior.

Your Impact:

Lead execution of Costing / Pricing Analytics and reporting processes to support existing and proposed new offerings, transactions and pricing strategies; Implement costing, analytical and reporting processes.

Apply advanced technical skills to lead the development of costing analytics framework by analyzing quantitative credit default, prepay, house price, interest rate models for new products and/or loans within existing portfolio. Expertise in understanding model limitations and deficiencies to apply model overlays. Requires creating alternative models to overcome shortcomings of the existing models.

Provide expertise and leadership in quantifying costing values using model outputs, machine learning and other advanced quantitative skills to assess relative risk of each product within the new acquisition.

Enhance analytical bench-strength in the team by building SME in risk models, statistical methods, credit policy, credit/prepay risk, business trends as well as technical data skills.

Constantly evaluate relative value of new products against the new risk for the firm.

Participate in model validation, model testing, challenge modeling approaches, approve OGM metrics and establish model thresholds to reflect financial or business impacts.

Develop, Improve and maintain existing costing tools and End User Computing systems to implement model runs; work with partners to provide testing evidence and supporting model documentation.

Collaborate with pricing, offerings, costing and CRT personnel to help identify the appropriate analyses to respond to questions, issues, or market developments at hand.

Partner with others to improve infrastructure for a reporting and analytics hub or repository for use by costing and others; Streamline and document where needed/appropriate.

Credit Analytics: Implement third party and proprietary tools to analyze economics and value of risk share structure (Recourse/Indemnification/CE). Provide analysis of offering, ideas and transactions; Monitor PLS and CRT Market Trends.

Take ownership of projects as assigned by management: Candidate will need to support various ad hoc and on-going requests. This may include governance support, e.g., audit, development of procedures, records management, or other needs as identified by management.

Qualifications:

Master’s degree + 8 years of related experience or a PhD + 5 years of related experience. Degree in applied mathematics, economics, statistics, data science or other quantitative field as well as strong background in computer science or econometrics.

10+ years of data analysis experience, with a combination of business and technical skills (SQL, SAS, R or Python programming experience); Experience in analyzing and manipulating large datasets.

Experience writing statistical or optimization programs to develops models and algorithms.

Mortgage industry experience or financial / credit analysis; Very strong facility with spreadsheet software; familiarity with basic data management tools and/or statistical tools

Experience with C-suite communications, storyboarding and ability to create PowerPoint materials for executive audience.

Ability to interact both verbally and in writing with senior leaders; build and maintain positive relationships and influence at all levels of the enterprise.

Ability to handle several priorities and work within tight timeframes, shifting direction as needed.

Keys to Success in this Role:

Exceptional quantitative, analytical and communication skills; Ability to self-teach and work without detailed instruction.

Ability to translate complex models and methodologies into simple business terms.

Solid skills for solving problems, innovative and out of box problem solver.

Must be an effective team leader and have a strong ability to work collaboratively.

Flexible and adaptable; able to work in ambiguous situations.

Experience building or developing models; programming in SAS, SQL or equivalent programming experience.

Knowledge of Freddie Mac operations as well as secondary mortgage and fixed-income markets

Think strategically to holistically assess requests and decisions; Speak up, be honest, and respectfully candid.

Take initiative to continuously improve work processes rather than accepting the status quo.

Current Freddie Mac employees please apply through the internal career site.

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.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities 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.

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:Exempt

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 $157,000 - $235,000 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.
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