Quantitative Risk Analysis Senior - Mortgage Credit Risk

Reposted 2 Hours Ago
Be an Early Applicant
McLean, VA
In-Office
133K-199K Annually
Senior level
Financial Services
The Role
The role involves implementing analytical frameworks, extracting data for analytics, and leveraging machine learning for risk management in mortgage credit.
Summary Generated by Built In

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:

Come join a growing team of strategists and problem solvers in Freddie Mac’s Single-Family (SF) Acquisitions SF Business Analytic (SFBA) team.

  • Analytics, reporting, and the identification of emerging risks from our newly purchased loan portfolio are critical to Freddie Mac’s success and overall risk mitigation strategies.

  • Bring together business partners and identify emerging industry trends in a fast-paced, exciting and diverse work environment

Our Impact:

Our division is responsible for keeping our finger on the pulse of the mortgages we buy and their performance, ensuring that they remain within the firm’s risk appetite

Your Impact:
  • Enhance and implement comprehensive analytical frameworks to measure credit risk and performance of new or existing policies/products/programs by using data and business expertise.

  • Provide analytical insights by leveraging machine learning or other related quantitative skills

  • Automate processes to monitor emerging risk effectively and efficiently

  • Develop subject matter expertise knowledge about Freddie Single-Family data and the Seller/Servicer Guide and independently extract data to support analytics.

Qualifications:
  • Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics, or a related quantitative field (Master’s degree preferred) and 5+ years of relevant experience.

  • 5+ years of experience applying data analytical skills to solve business problems with large data sets.

  • Experience writing statistical or optimization programs to develop models, algorithms and/or to conduct data analytics on large data sets

  • Proficiency in programming languages such as SQL (required), Python and/or SAS.

  • Solid understanding of risk, credit, and the mortgage life cycle. Strong quantitative, analytical, and problem-solving skills.

  • Strong experience with visualization tool including Tableau or PowerBI

Keys to Success in this Role:
  • Excellent quantitative, analytical, problem-solving, critical thinking and communication skills.

  • Excellent presentation skills both verbal and written.

  • Deep curiosity about new trends and topics in mortgage products and credit risk

  • Proven ability to analyze risk using quantitative and qualitative information, outstanding analytical, technical, and problem-solving skills.

  • Ability to explore and leverage new technical skills as need

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 time

FLSA 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 $133,000 - $199,000 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.

Top Skills

Power BI
Python
SAS
SQL
Tableau
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: McLean, VA
9,809 Employees
Year Founded: 1970

What We Do

Freddie Mac is serving America’s homebuyers, homeowners and renters by financing the creation and preservation of more affordable homeownership and rental opportunities, providing liquidity, stability and affordability to the housing market. We are Making Home Possible for families across the nation.

Similar Jobs

Remitly Logo Remitly

Principal Business Manager - Head of Underwriting Strategy - Lending

eCommerce • Fintech • Payments • Software • Financial Services
In-Office
Arlington, VA, USA
2800 Employees
164K-185K Annually

New York Life Insurance Company Logo New York Life Insurance Company

Corporate Vice President

Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
In-Office or Remote
5 Locations
34623 Employees
115K-125K Annually

Capital One Logo Capital One

Distinguished Engineer (Servicing Platform)

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
2 Locations
55000 Employees
240K-301K Annually

Capital One Logo Capital One

Senior Manager, Operations Servicing Strategy - Hybrid

Fintech • Machine Learning • Payments • Software • Financial Services
Hybrid
4 Locations
55000 Employees
141K-193K Annually

Similar Companies Hiring

Yooz Thumbnail
Software • Machine Learning • Fintech • Financial Services • Cloud • Automation • Artificial Intelligence
Aimargues, FR
470 Employees
Amplify Platform Thumbnail
Fintech • Financial Services • Consulting • Cloud • Business Intelligence • Big Data Analytics
Scottsdale, AZ
62 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
40 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account