Fraud Risk Data Scientist

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 Responsibilities • 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. Experience Requirements • 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, LightGBM, 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 TransUnion, 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. Education Requirements • 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 (noreply@eliassen.com, 781-808-2924) 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. 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 InfoSec@eliassen.com. Job ID: JN -022026-105678