Fraud Risk AI Data Sci

W2 Only (No C2C, Sponsorship)
Please apply directly

Degree in Mathematics, Statistics, Computer Science, or related field
2+ years of industrial experience in Data Science, Machine Learning and related areas
2+ years of industrial experience working with Python and SQL; Strong proficiency in Python, with expertise in libraries such as scikit-learn, XGBoost, LightGBM, pandas, and numpy; Solid SQL skills for data extraction and transformation across large datasets
Experience and deep understanding of a variety of machine learning techniques, including tree-based models, regression models, time series, causal analysis, and clustering
Ability to quickly develop a deep statistical understanding of large, complex datasets
Experience in credit risk / lending or fintech domain
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 (TransUnion, Experian, Equifax) in credit model development
Familiarity with cash flow data as alternative or complementary data sources.
Strong business problem solving, communication and collaboration skills


Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.