Fraud Data Analyst Program Manager

About the position

The position involves developing, assessing, managing, implementing, and communicating fraud detection, prevention, and control initiatives and strategies to protect the company from financial and reputational losses incurred through fraudulent activities. The role requires analyzing transaction patterns and fraud trends to create effective anti-fraud strategies based on fraud types and customer segments. Responsibilities include managing the rule life cycle, performance analysis, and reporting, as well as examining past and current fraud trends to implement effective fraud mitigation strategies. The position also involves applying validation processes to fraud rules and performing trend analytics using valid transaction and fraud data to identify patterns and make recommendations for improved controls.

Responsibilities

• Analyzes and interprets complex data to formulate problem statements and concise conclusions regarding underlying risk dynamics, trends, and opportunities related to fraudulent activities.
• Identifies and establishes key risk indicators and metrics, builds fraud models, and provides statistical input for the development and implementation of transactional fraud modeling strategies, policies, plans, and programs.
• Creates reporting based on a large volume of data and identifies fraud trends based on specific transaction attributes and historical transaction data.
• Identifies, analyzes, and resolves complex issues using various fraud tools, applications, and systems.
• Develops, implements, and improves comprehensive fraud detection strategies and authorization decision rules that balance fraud loss reduction, costs, and customer experience.
• Communicates fraud trends and portfolio performance to executive management, providing summaries and detailed analysis of findings, potential risks, and proposed action plans.
• Leads discovery processes with line-of-business stakeholders to identify business requirements and expected outcomes aligned with fraud reduction.
• Acts as a senior resource and subject-matter-expert in the development, tuning, and calibration of transaction monitoring rules used for detecting fraudulent activity across the bank.
• Leads the design and deployment of enhancements and fixes to the fraud model as needed, ensuring sound risk coverage and adequate quantitative model assessment and validation.
• Prepares monthly, quarterly, and annual reports related to changes made to strategies, their impact, and performance indicator results.
• Maintains ongoing collaboration and communication with the front-line fraud detection team, incorporating their feedback into proposed solutions.
• Identifies, evaluates, monitors, and makes recommendations to the Operational Risk Committee to assess, reduce, eliminate, or control risks to the company.
• Performs other related duties as required.

Requirements

• Bachelor's degree in computer science, applied mathematics, statistics, or a related discipline OR an equivalent combination of education and experience.
• Six years of financial services/banking/credit/debit card industry experience in a data analysis/data mining role.
• Strong analytical skills, including working with advanced data sets.
• Proficiency integrating and preparing large, and varied datasets.
• Proficiency in database concepts and managing data through the account lifecycle to include shifts in data lineage.
• Proficiency using Microsoft Office software applications, including advanced SQL, Excel, and Access.

Nice-to-haves

• Graduate degree