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Quantitative Analytics Manager, Portfolio Performance & Risk Management

External
Freddie Mac logoFreddie Mac · Mclean, VA
Full-timeOn-siteToday
ExcelForecastingPythonRisk ManagementSAFeSAS
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Responsibilities

  • Conduct analytics to monitor portfolio risk exposure using appropriate metrics, evaluate policy impacts on existing and new portfolios over specified time horizons, and assess the influence of model updates on business use.
  • Contribute to the design of business initiatives and the development of new internal application tool functionalities by conducting in-depth research on data, P&L, model uses, and business execution.
  • Collaborate and partner with groups across data, modeling, financial engineering, and finance to support analytical needs.
  • Provide up-to-date views of portfolio performance under various economic scenarios. Produce standardized sensitivity reports by updating the scenario library, preparing parameter files, executing sensitivity runs, and generating final reports.

Requirements

  • Doctorate degree with 3+ years of experience, or Master's degree with 5+ years of experience, in economics, quantitative finance, statistics, or a related quantitative field.
  • Demonstrated management experience.
  • Deep understanding of credit risk, market risk, cash flow models, and the impact of mortgage credit and prepayment on mortgage valuations.
  • Ability to craft narratives around complex model, business, or performance topics, leveraging visualization and dashboards.
  • Preferred experience developing or validating credit risk and market risk analytics, financial forecasting, and/or quantitative risk models.
  • Ability to manage complex projects in collaboration with cross-functional colleagues.
  • Strong Python, SQL, SAS, and Excel skills.
  • Keys to Success in this Role:
  • Managerial skills to lead teams and manage projects across departments.
  • Critical thinking and problem-solving skills, with the ability to resolve complex business issues through creative solutions and gain buy-in from key stakeholders.
  • Ability to translate business requirements into analytical problems and communicate analytical results effectively in business terms.
  • Ability to multitask and work efficiently under tight deadlines.
  • Current Freddie Mac employees please apply through the internal career site.
  • 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 continge

Benefits

Vision insurance

Additional Information

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: Freddie Mac's Investment & Capital Markets (I&CM) Mortgage Assets & Risk Transfer Division is seeking a Quantitative Analytics Manager to join the Portfolio Performance Analytics (PPA) team. This role applies quantitative analytics to influence business strategy and decision-making for both the Single-Family Guarantee and I&CM Retained portfolios. The candidate will contribute to the development of innovative insights and tools that streamline mortgage portfolio analysis and inform critical business decisions. The candidate will also lead the team in delivering business analytics that enable effective business actions. Our Impact: The PPA team operates within the I&CM division and plays a pivotal role in optimizing key decisions affecting the Single-Family Guarantee and I&CM Retained portfolios. Our responsibilities include defining performance risk metrics, creating scenarios, forecasting performance, and providing business recommendations to enhance portfolio risk management and returns. This work involves portfolio simulation and scenario design, in-depth research, and portfolio analytics across capital, credit and market risk, P&L, and corporate models.


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