Quantitative Analytics Director - McLean, United States - Freddie Mac

Freddie Mac

Verified Company

McLean, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

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 thrive on working in a team environment? Are you looking for an inclusive company culture? Freddie Mac's Multifamily-Family Modeling and Analytics team needs creative, forward-thinking individuals like you We want to hire individuals who seek out complex business problems and develop viable solutions.

The Quantitative Analytics Director position is responsible for engaging the key MF business partners to ensure the reasonableness and consistency of quantitative models, analytics and methodologies used in risk management and decision making in MF business.

Our Impact:

Our team includes the owners and developers of all major MF credit, market risk and business decision models/tools. Our goal is to use all available models and tools to facilitate MF risk management and optimize portfolio strategies.
Our team is also responsible for MF regulatory capital, stress testing and business initiatives. This is an increasingly critical role given our focus on safety and soundness in multifamily business as well as the emerging risk management under the dynamic market environment

Your Impact:

Leading the efforts on effective model operations, monitoring and business uses of MF core risk models. Providing thoughtful inputs on the development and improvement of model methodologies.
Taking the leading role of collaborating with significant business users, managing and mitigating model operation and governance risks (such as modeling findings), and expanding model uses in business decisions.
Lead the improvement of advanced scenario analysis and market forecasts to optimize business strategies and capital planning.
Actively building and engaging the model and model use communities across different business functions through effective communication and leadership.
Building strong productive relationship with various collaborators across three lines of defenses

Qualifications:

Demonstrated experience and expertise in credit risk modeling and risk mitigation
Strong analytical and problemsolving skills with a high level of attention to detail
Master or PhD degree in quantitative finance, statistics, or a related quantitative field with minimum 10+ years of financial industry experience.
Minimum 4 years' people management experience.
Excellent interpersonal and communication skills, particularly written communication skills
Self‐motivated, with the capability of managing multiple priorities and efficient in proposing solutions

Keys to Success in this Role:

Intellectual agility and interpersonal flexibility.
Ability to translate complex quantitative models and methodologies into simple business terms.
Strong leadership, planning and communication skills.
Ability to work with and collaborate across the team and where silos exist.
Deep curiosity to learn about new analytical tools and business innovation.
Solid skills for solving problems, innovative and out of box problem solver.

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.

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 $212,000 - $318,000 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.