Data Scientist - Credit Risk; NLP
Listed on 2026-01-12
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Analytic Recruiting Inc. provided pay range
This range is provided by Analytic Recruiting Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
A leading Fin Tech company in consumer credit is seeking a Data Scientist to lead high-impact initiatives at the intersection of credit risk modeling and generative AI. In this role, you’ll work on cutting-edge machine learning solutions using both structured and unstructured data. You’ll also play a key role in integrating Large Language Models (LLMs) into production systems — delivering insights, optimizing risk models, and driving product innovation.
Location: Washington, D.C. or New York, NY
Salary: Up to 140k base + bonus
Visa sponsorship is NOT AVAILABLE
Responsibilities- Design, build, and deploy predictive models for credit and risk analysis
- Apply and adapt LLMs to extract insights from text and enhance decision‑making
- Own model monitoring, explainability, and performance tracking
- Collaborate across teams to bring ML models into scalable production pipelines
- Analyze pilot programs using back‑testing and real‑world data
- Present findings and recommendations to both technical and business stakeholders
- Stay ahead of the curve on GenAI, NLP, and advanced ML developments
- Master’s or PhD in a STEM or quantitative field
- 3+ years of experience in data science, with focus on ML/AI in credit or risk domains
- Proficiency in Python and modern ML frameworks (e.g., PyTorch)
- Hands‑on experience with model development, deployment, and monitoring
- Strong communication skills and ability to influence across disciplines
- Experience with AWS or other cloud platforms (preferred)
- Deep expertise in GenAI, LLMs, NLP, or explainable AI (preferred)
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job functionAnalyst and Information Technology
IndustriesInvestment Management, Credit Intermediation, and Consumer Services
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