Lead Data Scientist

Role Overview

Data Scientist Lead supporting Fraud Risk and Monitoring initiatives within a financial services environment. This role focuses on analyzing large datasets, identifying fraud trends, building predictive models, and designing monitoring strategies to mitigate risk and improve business performance.

Key Responsibilities

• Analyze large datasets to identify fraud trends, anomalies, and emerging risk patterns
  Design and implement fraud monitoring strategies for new products and capabilities
  Optimize fraud detection processes by improving alert logic and reducing false positives
  Apply predictive modeling techniques for segmentation, targeting, and risk assessment
  Develop and enhance reporting dashboards for fraud and portfolio performance tracking
  Establish baselines and track performance against business expectations
  Collaborate with risk, product, engineering, and strategy teams
  Partner with internal and external data providers ensuring data quality and governance
  Support development and enhancement of fraud detection controls and frameworks
  Contribute to risk appetite definition and monitoring strategies

Technical Skills

Must Have

• Strong background in Math, Statistics, and Quantitative Analysis
  Proficiency in SQL, Python, or R
  Strong Analytical Mindset and Data Skills
  Experience with Tableau or Power BI

Nice To Have

• Model Development experience
  Prior Banking or Financial Services experience
  Anti-Fraud / Fraud Analytics experience
  Knowledge of Digital Transactions (ACH, Wire Transfer, etc.)
  Effective Communication Skills

Soft Skills

• Strong written and verbal communication skills
  Strong analytical and problem-solving abilities
  Cross-functional collaboration skills
  Ability to work in a fast-paced, data-driven environment

Education

• Bachelor s degree (minimum required)