
Quantitative Risk Analytics, Manager
Freddie Mac is looking for a highly motivated Quantitative Risk Analytics Manager to join our Risk Analytics team. In this role, you will be responsible for developing, implementing, and maintaining quantitative risk analyses and models to support the management of risk at Freddie Mac. The ideal candidate will have a strong background in quantitative analytics, a deep understanding of financial markets, and the ability to work collaboratively with a wide variety of stakeholders.To be successful in this role, you must have a Bachelor's or Master's degree in a quantitative field such as mathematics, finance, economics, or statistics. In addition, you must have 5+ years of experience in quantitative risk analytics and demonstrated experience in developing and maintaining risk models. You must also be detail-oriented, highly organized, and have the ability to work independently and prioritize tasks. Finally, you must possess excellent communication and presentation skills and the ability to explain complex quantitative concepts to a wide variety of audiences. This is an excellent opportunity for a Quantitative Risk Analytics Manager to join a dynamic team and have a direct impact on the management of risk at Freddie Mac. If you have the qualifications we are looking for and are ready to take on this challenge, we look forward to hearing from you!
Responsibilities:
- Develop, implement, and maintain quantitative risk models and analyses to support the management of risk at Freddie Mac.
- Create detailed reports and presentations to communicate results of quantitative risk models to relevant stakeholders.
- Stay up to date with best practices and industry trends related to quantitative risk analytics.
- Work collaboratively with other teams to ensure risk models are accurate and up to date.
- Train and mentor other team members on quantitative risk analytics.
- Proactively identify areas of improvement in quantitative risk models and recommend solutions.
- Ensure compliance with all applicable regulations related to quantitative risk analytics.
- Monitor and research the performance of quantitative risk models to ensure accuracy and reliability.
- Act as a technical resource to other teams when needed.
Python
Bachelor's Degree In Finance
Mathematics
Economics
Or Other Quantitative Field
+ Years Of Experience In Quantitative Risk Modeling
Knowledge Of Financial Instruments
Markets
And Products
Expertise In Programming Languages Such As Sas
And R
Ability To Interpret Complex Data And Develop Analytical Models
Understanding Of Consumer And Mortgage Finance
Excellent Communication
Presentation
And
Risk Management
Data Analysis
statistical analysis
Financial Modeling
Quantitative Analysis
Valuation
Data Mining
Stress testing
SAS Programming
Excel Modeling
Credit risk
Risk modeling
Regulatory compliance
Portfolio analysis
Credit Modeling
Communication
Conflict Resolution
Negotiation
Time management
Interpersonal Skills
creativity
Organization
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Quantitative Risk Analytics, Manager in McLean, VA, USA is approximately $99,000 to $183,000 per year. This range can vary depending on the company, the location, the experience of the candidate, and the industry.
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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.

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