Quantitative Analytics Director

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.

Position Overview:

The Quantitative Analytics Director is a strategic analytics leader responsible for transforming complex data into actionable business insights for senior executives and key stakeholders. This role emphasizes insight generation, decision support, and business impact while requiring strong fluency in quantitative methods, large-scale data analysis, and advanced analytical techniques.

The Director will lead the development and implementation of analytical workflows that accelerate insight creation, improve analytical efficiency, and enhance decision-making. A critical responsibility of the role is ensuring these AI capabilities are developed, governed, and deployed in a controlled, transparent, and compliant manner.

This position leads a team of analysts and data scientists and serves as a key partner across business, risk, technology, and analytics functions.

Our Impact:

Our team plays a critical role in helping Freddie Mac understand, anticipate, and manage credit risk across a dynamic mortgage market. By bringing together deep insights on how credit risk intersects with other aspects of our business, we provide timely insights that inform business decisions, strengthens governance, and supports the company’s mission. This is a role with opportunities to shape frameworks, influence cross-divisional outcomes, and engage with senior leaders on issues that matter to Credit Risk Management (CRM) as Freddie Mac balances credit risk and other scorecard items.

Your Impact:

Lead diverse Quantitative Analytics for Credit Risk Management (CRM).

• Translate complex business questions into data-driven analyses and executive-level insights.
• Develop clear, compelling narratives that inform strategic decisions by senior leadership.
• Identify emerging trends, risks, opportunities, and business drivers through advanced analytical techniques.
• Synthesize information from multiple data sources, models, and analytical frameworks into actionable recommendations

Quantitative Analysis & Model Use

• Apply advanced quantitative methods to analyze large and complex datasets.
• Leverage internal analytical and predictive models to generate business insights and recommendations.
• Partner with model owners, validation teams, and subject matter experts to ensure appropriate interpretation and application of model outputs.
• Maintain strong working knowledge of key enterprise models, methodologies, assumptions, and limitations.

Team Leadership & Talent Development

• Lead, coach, and develop a high-performing team of analysts and data scientists.
• Prioritize work, allocate resources, and ensure delivery of high-quality analytical outputs.
• Foster a culture of innovation, collaboration, continuous learning, and accountability.
• Support career development and technical growth of team members.

Cross-Functional Collaboration

• Partner closely with business leaders, risk management, technology, data, and analytics teams.
• Influence stakeholders through data-driven recommendations and clear communication.
• Drive alignment across teams to ensure analytical insights support strategic business objectives.

AI-Enabled Analytics Transformation

• Design and implement AI-driven workflows that accelerate the generation of insights and analytical products.
• Establish governance, controls, monitoring, and documentation standards for AI-enabled processes.
• Evaluate and integrate emerging AI capabilities while ensuring appropriate risk management, transparency, and compliance.
• Promote responsible and controlled adoption of AI across the analytics function.

Qualifications:

• Advanced degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, Operations Research, Engineering, or a related discipline.
• At least 12 years of experience in quantitative analysis, data science, risk analytics, or a related field.
• At least 4 years demonstrated experience leading and developing analytical teams.
• Strong expertise in quantitative methods, statistical analysis and working with large datasets.
• Experience developing, AI-enabled analytical solutions.
• Strong executive communication and presentation skills, including the ability to translate technical concepts into business implications.
• Proven ability to influence senior stakeholders and drive strategic decisions through analytics.

Preferred Qualifications:

• Experience with internal models, metrics and frameworks central to measuring risk and returns of SF business at Freddie Mac.
• Experience with modern analytics, data engineering, and AI platforms.

Keys to Success in this Role:

• Ability to convert complex analytical findings into clear business actions.
• Strong judgment in balancing innovation with governance and control requirements.
• Collaborative leadership style with a focus on developing talent and building partnerships with peers and stakeholders.
• Passion for leveraging data and AI to create measurable business value.

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 timeFLSA 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 $214,000 - $322,000 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.