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Position Overview:

Are you looking for development beyond the ordinary? A place full of exciting challenges and the engineers up to solving them? If so, welcome to Financial Engineering! This is the place where models become software, where many of the numbers that drive our business decisions are produced.

Freddie Mac’s Financial Engineering team within the Investments and Capital Markets (I&CM) division is currently seeking a Quantitative Risk Analytics Manager who will be responsible for supporting quantitative analytics and projects related to Freddie Mac’s enterprise-wide forecasting engine.

This position will be tasked with developing deep understanding of data, designing analytical approaches for business questions, managing and mentoring junior resources, and completing analyses and preparation of reports and presentations.

Our Impact:

Our team is the responsible for implementing the firm’s key models, across all business divisions. These include models for interest rates, house prices, borrower behavior, valuation, interest rate and credit risk, regulatory capital, and key financial reporting metrics.

As the center for implementation, we are also responsible for the development of a forecasting engine, which forecasts every loan, security, and significant accounting event for the firm, as well forecasts of our risk and capital.

This shared service supports nearly every risk decision in the firm, including automated underwriting, distressed loan decisioning, the profitability and risk of capital market decisions, the evaluation of credit and counterparty risks, related accounting disclosures, and capital strategy

Your Impact:

• Provide timely, relevant, robust analyses to support business decisions
• Develop deep understanding of relevant data, business background and the current code base
• Participate in the development of an analytical framework containing data preparation, code and reporting to support baseline and ad hoc analyses
• Designs appropriate analytical approaches for variety of business questions or scenarios presented
• Support Business Partners of forecasting engines and provide feedback and analysis on models and model usages from business perspective
• Conduct research on enhancements to the existing engines and apply industry standard processes and techniques to meet various business needs
• Provide innovative, detailed, and practical solutions to an extensive range of demanding and complicated problems
• Coordinate testing through the component implementation, conducting back tests to monitor the performance, and perform economic tests and stress tests to validate the forecast results

Qualifications:

• Masters in Finance, Business Administration, Statistics, Economics, or a quantitative field with related analytics experience or
  modeling.
• Proven analytical and quantitative skills
• Work experience in data mining languages such as SQL, SAS, R, or Python
• Experience working with large data sets and relational database.
• Self‐motivated, with the capability of managing multiple priorities and efficient in proposing solutions.
• Mortgage industry experience preferred.

Keys to Success in this Role:

• Intellectual agility and interpersonal flexibility
• Strong presentation skills both verbal and written
• Deep curiosity to learn about new trends
• Ability to apply data to help inform strategy and direction
• Ability to work across teams and with diverse organizations of modeling and risk professionals in an effective and efficient manner
• Must be able to manage several priorities, meet deadlines, identify, and advance issues appropriately to the management
• Working under limited direction, independently resolving, and developing approach to solutions