Credit Risk Data Scientist
Posted 4 days ago by 1756548723
Negotiable
Outside
Remote
USA
Summary: The Credit Risk Data Scientist role offers a 100% remote opportunity to develop and enhance credit risk models that influence lending decisions and improve member outcomes. The position involves working with large datasets, including credit bureau and alternative data, to derive insights and build predictive models. Applicants must be willing to work on a W2 basis, with a comprehensive benefits package available. The role requires collaboration with cross-functional teams to implement data science solutions effectively.
Key Responsibilities:
- Design, develop, and validate credit risk models including PD calibration, reject inference, adverse action logic, and risk segmentation.
- Analyze large, complex datasets to extract actionable insights and support model development.
- Apply machine learning techniques such as tree-based models, regression, time series, causal inference, and clustering to solve business problems.
- Collaborate cross-functionally with product, engineering, and business teams to translate data science solutions into production-ready systems.
- Work with credit bureau data (TransUnion, Experian, Equifax) and alternative data sources like cash flow and tax data to enhance model performance.
- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Key Skills:
- 2+ years of industry experience in data science, machine learning, or related areas.
- 2+ years of hands-on experience with Python and SQL for data analysis and modeling.
- Strong proficiency in Python libraries such as scikit-learn, XGBoost, LightGBM, pandas, and numpy.
- Solid SQL skills for data extraction and transformation across large datasets.
- Deep understanding of credit risk modeling concepts and experience in the fintech or lending domain.
- Experience working with credit bureau data and familiarity with alternative data sources like cash flow.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Description:
**100% Remote**
Our client, a leading provider of consumer credit services, has an excellent opportunity for a Credit Risk Data Scientist to work on a renewable contract opportunity. Work will be 100% remote. The Credit Risk Data Scientist will develop and enhance credit risk models that drive lending decisions, improve member outcomes, and support responsible financial products. You'll work with large-scale datasets, including credit bureau and alternative data, to uncover insights and build predictive models that inform business strategy.
Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60 - $70 / hr. w2
Responsibilities:
- Design, develop, and validate credit risk models including PD calibration, reject inference, adverse action logic, and risk segmentation.
- Analyze large, complex datasets to extract actionable insights and support model development.
- Apply machine learning techniques such as tree-based models, regression, time series, causal inference, and clustering to solve business problems.
- Collaborate cross-functionally with product, engineering, and business teams to translate data science solutions into production-ready systems.
- Work with credit bureau data (TransUnion, Experian, Equifax) and alternative data sources like cash flow and tax data to enhance model performance.
- Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Experience Requirements:
- 2+ years of industry experience in data science, machine learning, or related areas.
- 2+ years of hands-on experience with Python and SQL for data analysis and modeling.
- Strong proficiency in Python libraries such as scikit-learn, XGBoost, LightGBM, pandas, and numpy.
- Solid SQL skills for data extraction and transformation across large datasets.
- Deep understanding of credit risk modeling concepts and experience in the fintech or lending domain.
- Experience working with credit bureau data and familiarity with alternative data sources like cash flow.
Education Requirements:
- Bachelor's degree in IT, cybersecurity, computer information systems, or related field.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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