Fraud Risk Data Scientist

Fraud Risk Data Scientist

Anywhere

Type:
Contract

Category:
Security

Industry: Financial Services

Workplace Type:
Remote

Our client, a leading provider of consumer credit services, seeks a Fraud Risk Data Scientist for a renewable contract. You will develop and enhance fraud risk models, work with large-scale credit bureau and alternative datasets, and build predictive models that inform business strategy and improve member outcomes.

Due to client requirements, 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: $70.00 to $83.00/hr. w2

• Develop and enhance fraud risk models that drive lending decisions and support responsible financial products.
• Leverage large-scale datasets, including credit bureau and alternative data, to build predictive models and uncover insights.
• Apply tree-based models, regression, time series, causal analysis, and clustering to fraud and credit risk problems.
• Design and implement data extraction and transformation logic in SQL across large datasets.
• Calibrate and monitor credit risk model components such as PD calibration, reject inference, adverse action logic, and risk segmentation.
• Partner with cross-functional stakeholders to translate business problems into analytical solutions and communicate findings.

• 2+ years of industrial experience in data science and machine learning.
• 2+ years of experience with Python and SQL in production environments.
• Strong proficiency in Python with scikit-learn, XGBoost, Light
  
  GBM, pandas, and numpy.
• Solid SQL skills for data extraction and transformation on large datasets.
• Experience applying tree-based models, regression models, time series methods, causal analysis, and clustering.
• Experience in credit risk, lending, or fintech domains.
• Deep understanding of credit risk modeling concepts, including PD calibration, reject inference, adverse action logic, and risk segmentation.
• Experience with tax and/or credit bureau data such as Trans Union, Experian, or Equifax in credit model development.
• Familiarity with cash flow data as alternative or complementary data sources.
• Strong business problem solving, communication, and collaboration skills.

• Degree in Mathematics, Statistics, Computer Science, or a related field.

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI‑assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

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.

Don’t miss out on our referral program! If we hire a candidate that you refer to us, you can be eligible for a $1,000 referral check!