Transforming what it means to work for a financial institution by driving revenue growth, cost reduction, and meeting new regulatory requirements through data-driven decisions
Requirements
- Expertise in Fraud Detection and Risk Modeling
- Strong Machine Learning and Statistical Modeling Skills
- Experience with Recommendation Systems
- Familiarity with Generative AI Techniques
- Proficiency in Programming and Data Tools
- Cloud and MLOps Experience
Responsibilities
- Delivering insight from data that is actionable
- Understanding business and data needs
- Discovering, cleaning, and transforming data as needed
- Designing and building analytical models
- Performing statistical analyses
- Providing diagnostic, descriptive, prescriptive, and predictive analytics
- Design, develop and maintain production grade machine learning and AI applications
Other
- Excellent Communication and Collaboration Skills
- Ability to translate complex analytical insights into actionable business recommendations
- Collaborate effectively with cross-functional teams including fraud, IT, and product
- Education & Experience: Bachelor’s Degree in a Quantitative field and 6+ years experience
- Master’s degree is preferred
