
Quantitative Analytics Manager
Welcome to Freddie Mac! We are currently seeking a highly skilled and motivated Quantitative Analytics Manager to join our dynamic team. As the nation's leading provider of mortgage financing, we are dedicated to making home possible for millions of families across the country. In this role, you will have the opportunity to utilize your analytical expertise to drive data-driven decision making and help shape the future of the mortgage industry. If you are passionate about quantitative analysis and possess the necessary qualifications, we invite you to apply today and be a part of our mission to build a better housing finance system for all.
- Lead and manage a team of quantitative analysts to support the development and implementation of data-driven strategies and solutions.
- Utilize advanced statistical and analytical techniques to evaluate and interpret complex data sets.
- Develop and maintain predictive models and algorithms to support business objectives.
- Collaborate with cross-functional teams to identify and prioritize business needs and provide strategic recommendations for improving business performance.
- Monitor industry trends and developments to identify potential opportunities and risks.
- Communicate complex data and analysis findings in a clear and concise manner to both technical and non-technical stakeholders.
- Develop and maintain relationships with internal and external stakeholders to ensure alignment and support for analytics initiatives.
- Ensure accurate and timely delivery of analytics projects and initiatives.
- Stay updated with industry best practices and incorporate them into the team's processes and methodologies.
- Mentor and train junior members of the team to enhance their analytical skills and knowledge.
Strong Background In Quantitative Analysis: The Ideal Candidate For A Quantitative Analytics Manager Job At Freddie Mac Should Possess A Strong Background In Quantitative Analysis, Including Experience With Statistical Modeling, Data Analysis, And Financial Forecasting.
Advanced Degree In A Quantitative Field: A Minimum Of A Master's Degree In A Quantitative Field Such As Mathematics, Statistics, Economics, Or Finance Is Typically Required For A Quantitative Analytics Manager Position At Freddie Mac.
Knowledge Of Financial Markets And Products: A Deep Understanding Of Financial Markets And Products Is Essential For A Quantitative Analytics Manager, As This Role Will Involve Analyzing Complex Financial Data And Developing Models To Support Decision-Making.
Experience With Data Management And Programming: The Ability To Effectively Manage Large Datasets And Utilize Programming Languages Such As Sql, Python, And R Is Highly Valued For A Quantitative Analytics Manager At Freddie Mac.
Strong Communication And Leadership Skills: As A Manager, The Candidate Should Possess Excellent Communication And Leadership Skills To Effectively Guide And Collaborate With A Team Of Analysts And Stakeholders On Quantitative Projects And Initiatives.
Programming
Data Analysis
Database Management
Machine Learning
Data Visualization
Statistical modeling
Financial forecasting
Portfolio Management
Risk assessment
Market trends
Technical Expertise
Economic Research
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Organization
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Quantitative Analytics Manager in McLean, VA, USA is between $130,000 and $200,000 per year. This range may vary depending on factors such as years of experience, specific industry, and company size.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
Federal Home Loan Mortgage Corp. provides liquidity, stability and affordability to the U.S. housing market primarily by providing credit guarantee for residential mortgages originated by mortgage lenders and investing in mortgage loans and mortgage-related securities.

Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started