SF Risk - Risk Analysis - Senior Associate

Posted Yesterday
Be an Early Applicant
Plano, TX, USA
In-Office
96K-124K Annually
Senior level
Financial Services
The Role
Support portfolio credit risk monitoring and analysis for residential mortgages. Provide data-driven reporting, identify and report emerging risks, develop risk outlooks, coordinate mitigation activities, and use quantitative and AI tools to improve processes and dashboards.
Summary Generated by Built In

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description

As a valued colleague on our team, you will contribute to risk monitoring and reviews for the organization, coordinate risk mitigation activities, and provide risk mitigation assistance to other groups.

Please note this position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC

THE IMPACT YOU WILL MAKE

The Book Portfolio Credit Risk Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

  • Assist team with monitoring and identifying risks to our portfolio through data analysis.
  • Report on risks and participate in developing solutions.
  • Provide data and quantitative analytics support to the SF leadership related to credit risk
  • Perform analysis to develop risk outlook to facilitate forward-looking credit risk management
  • Conduct research on emerging risks, to identify, assess and report emerging risks based on economic, market and other conditions
  • Assist with coordinating risk activities across groups.
  • Support team with risk mitigation strategies.
  • Carry out tasks to avoid risks or mitigate their impact.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

THE EXPERIENCE YOU BRING TO THE TEAM

Desired Experience

  • Bachelor's degree or equivalent; advanced degrees in related areas (e.g. quantitative finance, economics, statistics, etc.) preferred. At least 2 years' full-time working experience in related areas required.
  • Possess an understanding of residential mortgage credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions. 
  • Credit risk modeling and stress testing experience a plus
  • Experience with data analysis and utilizing data to identify trends or relationships to provide insights and inform decisions based on sound analysis. Experience gathering accurate information to explain rationale and answer critical questions.  
  • Experience monitoring, forecasting, and measuring credit risk, conducting risk assessments, and identifying gaps in existing risk monitoring frameworks.
  • Strong skills in data query and processing using such tools as SQL, Python, and R
  • Experience in utilizing AI tools and technologies (such as ChatGPT, Copilot) to improve process, generate deliverables and gain efficiencies
  • Excellent verbal and written communication skills.  Skilled in graphical representation of information using charts, diagrams, and dashboards with programs and tools such as Excel, Tableau, or Power BI. Proven ability to present information and ideas to audiences in a compelling way that is engaging and easy to understand.
  • Demonstrated relationship management skills with the ability to manage and engage stakeholders and build relationship networks.  Able to effectively work with people with different functional expertise respectfully and cooperatively towards a common goal. 
  • Experience in influencing including persuading others, facilitating meetings, and resolving conflict to improve or correct performance to achieve desired outcomes.
  • Skilled in Tableau
  • Skilled in Excel
  • Experience with SQL, Python, R

#LI - TW1 - Hybrid

Qualifications

Amazon Web Services (AWS), Amazon Web Services (AWS), Artificial Intelligence (AI), Collaborating Cross-Functionally, Communication, Credit Risk Analysis, Credit Risk Modeling, Credit Risk Reporting, Data Analysis Interpretation, Data Mining, Data Query, Data Query Language, Data Visualization, Documentation Reporting, Identifying Risks, Machine Learning (AI), Predictive Modeling, Python (Programming Language), Quantitative Risk Analysis, Relationship Networking, Research Facilitation, Residential Mortgages, Risk Analysis, Risk Assessments, Risk Monitoring {+ 3 more}

Education:

Bachelor's Level Degree (Required), Master's Level Degree

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.


Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

96000

to

124000

Skills Required

  • Bachelor's degree or equivalent
  • Advanced degree in quantitative finance, economics, or statistics
  • Minimum 2 years full-time related working experience
  • Understanding of residential mortgage credit risk and portfolio analysis
  • Credit risk modeling and stress testing experience
  • Experience monitoring, forecasting, and measuring credit risk; conducting risk assessments
  • Strong data query and processing skills (SQL, Python, R)
  • Skilled in Tableau
  • Skilled in Excel and data visualization
  • Experience with Amazon Web Services (AWS)
  • Experience utilizing AI tools and technologies (e.g., ChatGPT, Copilot)
  • Excellent verbal and written communication skills
  • Stakeholder relationship management and influencing skills

Fannie Mae Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fannie Mae and has not been reviewed or approved by Fannie Mae.

  • Fair & Transparent Compensation Pay is considered competitive versus industry peers, with base and total compensation viewed as strong for many roles. Public postings and third-party salary bands indicate competitive ranges and reinforce confidence in market alignment.
  • Retirement Support The 401(k) program is highlighted as notably generous and a standout element of total rewards. Employer contributions meaningfully support long-term wealth-building.
  • Leave & Time Off Breadth Paid vacation, holidays, and volunteer time are described as ample, with strong parental leave complementing time-off flexibility. The breadth of PTO stands out as a core strength of the package.

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The Company
HQ: Washington, DC
10,886 Employees
Year Founded: 1938

What We Do

Fannie Mae serves the people who house America. We are a leading source of financing for mortgage lenders, providing access to affordable mortgage financing in all markets at all times. Our financing makes sustainable homeownership and workforce rental housing a reality for millions of Americans. We also help make possible the popular 30-year, fixed-rate mortgage, which provides homeowners with stable, predictable mortgage payments over the life of the loan. Our tools and resources help homebuyers, homeowners, and renters understand their housing options. We put our customers and partners at the center of everything we do. We apply our experience and expertise to deliver innovative solutions to help our customers succeed. At Fannie Mae, our people pour their hearts into everything they do. Because we know it makes a real difference in others’ lives. We are committed to moving forward with our partners to build a stronger, safer, more efficient housing finance system. Join us to help shape the future of housing: http://fanniemae.com/careers.

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