Job Description:
A leading FinTech company in consumer credit is seeking a Senior 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: New York, NY or Washington, DC (3x/week)
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
Requirements:
-
Master’s or PhD in a STEM or quantitative field
-
3–5 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)
Keywords: Data Science, credit scoring, credit bureau data, Python
Qualified candidates, please send your resume to Hazem Kamal, Hazem@analyticrecruiting.com | For more opportunities, please visit www.analyticrecruiting.com.
