Fraud Analytics & Strategy Manager

About Our Client

Our client is a global leader in the financial services industry, dedicated to securing the digital economy and protecting transactions worldwide. They are at the forefront of innovation, continuously developing advanced solutions to safeguard consumers and businesses against evolving threats. Joining their team means contributing to a mission-critical function that impacts millions of lives daily, ensuring trust and security in every interaction.

About the Opportunity

Are you a data-driven strategist passionate about combating financial crime? This is an exciting opportunity to join a critical team at the heart of our client's defense against fraud. As a key member of their analytics team, you will design, execute, and scale sophisticated, data-driven fraud strategies that protect diverse financial portfolios and products. You will play a pivotal role in detecting emerging trends, optimizing decision engines, and mitigating attacks across the full fraud lifecycle, from synthetic identity fraud to account takeover and complex new attack vectors. This role is a critical bridge, translating data into actionable insights that safeguard the firm and its customers, making a tangible impact on global financial security.

Key Responsibilities

• Design, test, and implement robust fraud mitigation rules and authorization governance strategies across decisioning systems, adhering to strict change-control standards.
• Serve as a primary lead for Fraud Model Risk, partnering with modelers, external vendors, and internal validators across the model lifecycle (validation, ongoing performance monitoring, versioning, and annual reviews).
• Query large-scale datasets using SAS, SQL, or open-source tools to identify behavioral patterns, assess rule performance, and translate raw data into actionable insights for executive leadership.
• Package comprehensive analysis into technical documentation that meets regulatory guidelines and industry standards. Present model validation findings to senior management and supervisory authorities as required.
• Partner closely with Fraud Policy, Operations, Product, and IT teams to align fraud strategies with business growth, technology roadmaps, and incident management protocols.
• Research and evaluate new data sources, analytical tools, and technology capabilities to continuously enhance fraud detection architecture and process efficiencies.

Qualifications

• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Economics, Data Science, or related field).
• 5+ years of experience in fraud strategy, quantitative analytics, or risk management within financial services.
• Intermediate to advanced proficiency in SAS or SQL for complex data manipulation, strategy monitoring, and performance assessments.
• Strong hands-on proficiency in Excel for data modeling and reporting.
• Experience working within Big Data environments (e.g., Python, Hive, Impala) and performing mathematical/statistical analysis on large datasets.
• Demonstrated familiarity with model development, production deployment, and model risk governance frameworks.
• Proven ability to translate complex analytical findings into executive-ready presentations and interface confidently with regulatory auditors and senior leaders.

Preferred Qualifications

• Master's Degree in a quantitative or technical field.
• 2+ years of direct experience in the payments industry, particularly with payment systems and associated fraud vectors.
• Track record of driving cross-functional initiatives and managing system incident responses in a fast-paced environment.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.