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Credit Risk Data Science Jobs in Washington (NOW HIRING)

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Credit Risk Data Science information

How does a Credit Risk Data Scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What is Credit Risk Data Science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.
What are popular job titles related to Credit Risk Data Science jobs in Washington? For Credit Risk Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Washington look for? The top searched job categories for Credit Risk Data Science jobs in Washington are:
What cities in Washington are hiring for Credit Risk Data Science jobs? Cities in Washington with the most Credit Risk Data Science job openings:
Senior Lead - Enterprise Portfolio Credit Risk

Senior Lead - Enterprise Portfolio Credit Risk

Freddie Mac

Mclean, VA โ€ข On-site

Full-time

Re-posted 2 days ago


Job description

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:
This role sits at the center of Freddie Mac's enterprise financial risk oversight, shaping how the company anticipates, measures, and manages Single-Family credit risk across the economic cycle. You will translate macroeconomic and market signals into actionable credit loss forecasts and stress-test insights, informing risk appetite, and capital resilience under both internal scenarios and regulatory frameworks (e.g., DFAST).
As an independent risk leader, you'll provide effective challenge to models and deterministic quantitative methods, strengthen governance and use standards, and continuously enhance forecasting and portfolio risk analytics. You'll partner closely across Enterprise Risk, Model Risk and the business to monitor key risk indicators, identify emerging risks early, assess new initiatives and policy changes, and evaluate portfolio strategies such as loss mitigation and liquidation approaches. The position offers high visibility, meaningful influence on enterprise outcomes, and the opportunity to innovate in risk analytics, model governance, and data-driven oversight while developing and leading talent in a fast-paced, mission-critical environment.
Our Impact:
The Financial Risk team within the Enterprise Risk Division is responsible for oversight and effective challenge of the company's most important risks, including credit, market, and liquidity risks. Together, we:
  • Establish governance, policies, and standards that define how the company manages financial risks to support safety and soundness
  • Monitor and report on the risk and control profile, financial risk appetite, and performance of risk indicators and metrics against thresholds and limits
  • Communicate enterprise-wide risk management issues and emerging risks and monitor effective and timely issue resolution
  • Provide timely and independent oversight and effective challenge of the company's financial risk management practices and risk-taking activities
  • Assess risk to earnings and capital across a range of scenarios
  • Execute an integrated oversight plan in collaboration with Operational Risk and Compliance to support the Chief Risk Officer in providing senior management and the Board with an enterprise view of risks

Your Impact:
Senior Lead- Portfolio Credit Risk, an influential leader at Freddie Mac, you will:
  • Analyze macroeconomic and financial drivers of credit loss forecasts; quantify their impact on losses across multiple scenarios, including baseline outlook changes, quarterly Current Expected Credit Losses (CECL), and stress tests (internal, such as Risk Appetite, and regulatory, such as Dodd-Frank Act Stress Testing)
  • Conduct Model and Deterministic Quantitative Methods (DQM) use assessments for new and existing models/DQMs, including material changes, to ensure they are appropriately designed and applied in risk management activities.
  • Build strong partnerships with Single-Family counterparts and across Enterprise Risk
  • Evaluate, test, and enhance macroeconomic and credit models; develop and recommend new approaches to improve forecast accuracy and risk insights over time
  • Monitor Key Risk Indicators (KRIs) and other risk metrics to assess credit risk exposure; set quantitative thresholds and perform trend analysis to identify emerging risks
  • Perform quantitative analysis and modeling to assess portfolio risk exposure
  • Conduct independent risk assessments and issue effective challenge as part of monitoring activities, including deep-dive reviews of high-risk segments and pipeline risk analysis
  • Evaluate new initiatives and significant changes to assess credit risk
  • Perform quantitative analysis on diverse portfolio issues, including asset liquidation strategies and methodology changes
  • Review corporate credit policies and maintain departmental policies and procedures.
  • Monitor industry and sector trends and emerging regulatory developments to inform portfolio credit risk management activities

Qualifications:
  • 10 years of experience in a combination of leadership roles in risk management and credit loss forecasting, or related functions within a large, complex financial institution.
  • Quantitative degree preferred in finance, economics, mathematics, statistics, or related field; Master's degree or professional certifications (e.g., FRM, CFA) a plus
  • Ability to understand macroeconomic and credit forecast models stress testing methodologies and credit risk management practices
  • Familiarity with relevant regulatory requirements, including CCAR/DFAST and Basel standards
  • Expertise in mortgage and fixed income products, model loss estimation, and loss forecasting
  • Understanding of uncertainties and limitations of models, methodologies, and judgments used to measure and manage stress losses and capital adequacy
  • Strong decision-making skills with the ability to work under pressure effectively to resolve critical issues
  • Experience with analyzing complex financial data and risk management software and financial analysis tools (e.g., Python, R, Excel)
  • Excellent verbal and written communication skills with the ability to communicate complex information to a variety of audiences, including senior management and regulators, in a clear and actionable manner
  • Demonstrated track record of innovation in risk analytics, data infrastructure, or model governance practices.

Keys to Success in this Role:
  • Effective collaboration to build trust and increase efficiency across the three lines, including the business segment (I&CM and SF) and Finance Divisions, Enterprise Risk Division, and Internal Audit and with FHFA
  • Ability to communicate effectively and efficiently
  • Expertise and authority to maintain independence, critically review, and provide effective challenge of the company's stress testing and capital management practices and credit risk transfer activities
  • Ability to prioritize across multiple competing tasks, manage teams effectively, and deliver timely, high-quality, and well-documented oversight outcomes
  • Strong organization skills, analytical mindset, and ability to work in a fast-paced environment against tight deadlines
  • Remain current on the latest financial risk management developments, regulations, and industry trends

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 $167,000 - $251,000 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.

Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970