Lead Fraud Analytics Implementation Manager [AQ-19504]

Aquent; New Castle (DE); On-site; USD 150,000 - 210,000; Full time

Job summary

Aquent is partnering with a leading financial institution to advance fraud prevention through advanced data science. You will drive evaluation, benchmarking, and deployment of fraud detection models across our enterprise, translating complex analytics into operating solutions that protect customers and transactions.

The role requires coordinating with governance, risk, and fraud operations teams to ensure model validation, approvals, and seamless integration with payment systems, while guiding

Qualifications

• Proven hands-on expertise in machine learning algorithms and model performance metrics (e.g., ROC-AUC, Precision/Recall).
• Experience leading complex deployments and managing full lifecycle of model integration within large organizations.
• Direct experience navigating compliance, governance, model validation, and approvals in financial services.

Responsibilities

• Evaluate, benchmark, and test 4-5+ ML models from internal and external partners.
• Lead end-to-end deployment of fraud detection models into operational systems.
• Collaborate with governance teams for validation, documentation, and approvals.
• Drive cross-functional roadmaps aligning DS, infra, and rules engines for integration.
• Partner with fraud ops and rules teams to embed model scores into rules and payment paths.

Skills

Machine Learning

Model Evaluation

Deployment & Integration

Stakeholder Management

Regulatory Compliance

Job description

Aquent is partnering with a leading financial institution at the forefront of innovation, dedicated to securing the global financial ecosystem. This organization plays a critical role in enabling seamless and secure transactions worldwide, impacting millions of lives and businesses daily. Join a team that is committed to excellence and constantly pushing the boundaries of what’s possible in financial technology.

Are you a visionary leader with a passion for data science and a knack for turning complex models into real-world solutions? We are seeking a dynamic individual to drive the implementation of advanced fraud detection models within a vast enterprise financial environment. In this pivotal role, you will be the crucial link between cutting‑edge data science and operational execution, directly safeguarding our financial systems and customers. Your expertise will not only optimize our defenses against fraud but also significantly contribute to the security and integrity of global financial transactions.

What You’ll Do

• Independently evaluate, benchmark, and test 4-5+ machine learning models, including those from external partners, assessing their performance, business impact, and return on investment to guide strategic prioritization.
• Lead the comprehensive, end-to-end deployment of fraud detection models into our operational ecosystem, ensuring seamless integration and functionality.
• Collaborate closely with internal governance teams to navigate and secure model validation, thorough documentation, and formal regulatory and internal approvals.
• Direct cross‑functional technical roadmaps, harmonizing data science execution, infrastructure needs, and rules engine updates for smooth and effective model integration.
• Partner with fraud operations and rule‑building teams to strategically embed model scores into active fraud rules and critical payment execution pathways.
• Act as the primary liaison, fostering strong communication and alignment between data science teams, technology partners, governance groups, and business risk executives.

Must‑Have Qualifications

• Proven hands‑on expertise in machine learning algorithms, deep understanding of model performance metrics (e.g., ROC‑AUC, Precision/Recall, Population Stability Index), and feature evaluation techniques.
• Demonstrated experience in leading complex, multi‑stakeholder technical deployments and managing the full lifecycle of model integration within large‑scale organizations.
• Direct experience navigating compliance, governance frameworks, model validation, and approval processes specifically within the financial services sector.
• Profound ability to analyze extensive transaction and risk datasets, translating insights into actionable strategies for operational decision‑making.

Nice‑to‑Have Qualifications

• Prior experience in fraud analytics, developing fraud rules, understanding payment transaction flows, or managing card issuer risk.
• Familiarity with network mandates, issuer‑side implementations, or enterprise fraud solutions.
• Experience gained within large‑scale financial institutions or complex banking environments.

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.