Lead Fraud Analytics Implementation Manager

Join a leading global financial institution at the forefront of securing the financial ecosystem. This organization is dedicated to innovation, protecting customers, and ensuring the integrity of countless transactions daily. Through our partnership with Aquent, we are seeking exceptional talent to drive critical initiatives that safeguard our digital world.

Are you a visionary leader who thrives at the intersection of cutting-edge data science and critical business execution? We are seeking a highly skilled individual to spearhead the evaluation, optimization, and deployment of advanced fraud detection models within our expansive financial ecosystem. This is a unique opportunity to make a tangible impact, bridging complex analytical insights with real-world security measures. You will play a pivotal role in protecting our customers and maintaining the trust placed in our financial services by directly enhancing our fraud prevention capabilities.

What You'll Do

• **Model Evaluation & Optimization:** Benchmark, evaluate, and rigorously test existing and newly proposed fraud models. You will assess model performance, quantify business impact, and determine ROI to strategically prioritize initiatives.
• **Implementation & Governance:** Lead the end-to-end deployment of fraud models into our robust fraud detection framework. This includes close collaboration with governance teams to navigate validation, documentation, and formal regulatory/internal approval processes.
• **Technical Project Management:** Direct cross-functional roadmaps, integrating data science execution, infrastructure requirements, and rules engine updates to ensure seamless model integration and operational efficiency.
• **Rules & Detection Strategy:** Partner with fraud operations and rule-building teams to effectively integrate model scores into active fraud rules and critical payment execution pathways.
• **Stakeholder Alignment:** Serve as the central point of contact, fostering strong relationships between data science teams, external technology partners, governance bodies, and key business risk executives.

What You'll Bring

• **Data Science Background:** Proven hands-on understanding of machine learning algorithms, model performance metrics (e.g., ROC-AUC, Precision/Recall, population stability index), and feature evaluation.
• **Project & Program Management:** Demonstrated experience leading complex, multi-stakeholder technical deployments and model integration lifecycles within large organizations.
• **Model Risk Management (MRM):** Direct experience navigating MRM compliance, governance frameworks, model validation, and approval processes within financial services.
• **Analytics Experience:** Deep comfort analyzing large transaction and risk datasets to drive informed operational decision-making.

Bonus Points

• **Domain Expertise:** Prior experience in fraud analytics, fraud rule development, payment transaction flows, or card issuer risk management.
• **Ecosystem Familiarity:** Experience working with network mandates, issuer-side implementations, or enterprise fraud solutions.
• **Financial Services:** Experience within large-scale financial institutions or complex banking environments.

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.

#LI-MG1