This role plays a critical part in developing advanced Risk Decision Models that power strategic decision-making across the organization
Job Summary
This role plays a critical part in developing advanced Risk Decision Models that power strategic decision-making across the organization.
You will work with large and complex datasets, including traditional and alternate data sources, to build high-performing analytical solutions.
A key objective of this role is to drive the adoption of AI across risk decisioning, where proficiency in Generative AI, Large Language Models, and Agentic Architectures is a significant advantage.
Matching Summary
This role plays a critical part in developing advanced Risk Decision Models that power strategic decision-making across the organization.
Skills & Requirements
Must-have
Risk Decision Model Development
Machine Learning and Statistical Modeling
Data Preparation and Feature Engineering
Model Lifecycle Management
Proficiency in Python, SAS, SQL, R, Spark
Stakeholder Communication and Collaboration
Nice-to-have
Experience with Generative AI and Large Language Models
Strong analytical and quantitative skills
Ability to communicate complex concepts clearly
Self-motivated and detail-oriented
Cross-functional teamwork
Key Requirements
2+ years experience in Risk Modeling or PhD in quantitative discipline
Strong foundation in statistical modeling and econometrics