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Principal Fraud Prevention Specialist
2 weeks ago
We are seeking a skilled Fraud Risk Modeler to design, develop and maintain models to detect and prevent fraud across various financial products and channels.
Key Responsibilities:- Model Development & Validation: Build, implement and validate fraud detection and prevention models using advanced statistical and machine learning techniques.
- Data Analysis & Interpretation: Analyze large-scale transactional and behavioral data to identify fraud patterns, assess model performance and provide actionable insights.
- Risk Assessment & Monitoring: Evaluate existing fraud controls, monitor fraud trends and quantify exposure to evolving threats.
- Communication & Collaboration: Effectively present analytical findings and model performance to stakeholders.
- Documentation & Reporting: Maintain comprehensive documentation of model development processes and risk assumptions.
Strong proficiency in Python, SQL and data science tools is required, with familiarity with real-time decision engines and fraud detection platforms. Leadership skills to lead fraud analytics initiatives are also essential.
Requirements:- Bachelor's or Master's degree in a quantitative discipline such as Statistics, Mathematics, Computer Science or Data Science.
- 6 to 7 years of experience in banking environment, specifically in developing, implementing and maintaining fraud risk models.
- Proven experience in fraud analytics and modelling, including transaction monitoring and rules-based or machine learning-driven approaches.
- Strong programming skills in Python, SQL, R or SAS for model development, data manipulation and automation.
