Senior Data Scientist

Quick Facts

• Role: Senior Data Scientist

• Focus: Predictive customer risk-scoring models for AML and Safer Gambling

Description

Take ownership of customer risk-scoring models and exploratory risk analysis. Analyze complex behavioral data, run deep-dive investigations, and build statistical models to mitigate Anti-Money Laundering (AML) and Safer Gambling (SG) risks.

Responsibilities

• Design, evaluate, and iteratively refine predictive models targeting AML and Safer Gambling risk indicators.

• Conduct exploratory data analysis and targeted investigations to identify behavioral anomalies and emerging risk patterns.

• Partner with compliance and operational risk teams to translate risk domain insights into practical model features.

• Communicate analytical methodologies, model evaluation results, and strategic insights to non-technical stakeholders.

Requirements

• 5+ years of professional experience as a Data Scientist.

• Strong proficiency in Python and SQL for complex data extraction, feature engineering, and statistical modeling.

• Experience building and evaluating statistical and machine learning models (e.g., XGBoost, Linear/Logistic Regression).

• Strong analytical problem-solving skills, including background in model evaluation metrics and data-driven investigations.

• Effective verbal and written communication skills to clearly explain complex analytical concepts.

Benefits

• Opportunity to protect the business and its users through data-driven risk mitigation models.