Lead Fraud Analytics Implementation Manager [AQ-20986]

Aquent; New Castle (DE); Remote; USD 120,000 - 165,000; Full time

Benefits offered by this job

Weekly pay

Health and dental benefits after 4+ wk

Paid sick leave

401(k) with company match

FSA program

Direct deposit

Referrals rewards

Access to Gymnasium courses

Agency support during contract

Job summary

Aquent is seeking a data science leader to drive the implementation of advanced fraud detection models for a major global financial institution. You will act as the bridge between cutting-edge analytics and operational execution, safeguarding transactions and customers.

You will independently evaluate multiple models, oversee end-to-end deployment, and collaborate with governance and risk teams to secure approvals and documentation. Strong experience in financial services is required.

Qualifications

• Hands-on expertise in machine learning algorithms and model evaluation metrics (ROC-AUC, Precision/Recall, etc.).
• Experience leading end-to-end deployment of models in large orgs.
• Familiarity with governance, validation, and regulatory approval processes in financial services.

Responsibilities

• Evaluate and benchmark 4-5+ ML models, including external partners, based on performance and ROI.
• Lead end-to-end deployment of fraud detection models into the operations ecosystem.
• Collaborate with governance and risk teams to secure approvals and documentation.
• Coordinate roadmaps across data science, infrastructure, and rules engines for seamless integration.
• Embed model scores into fraud rules and payment execution paths.

Skills

ML algorithms

Model evaluation

Deployment

Cross-functional collaboration

Education

Bachelor's degree in a quantitative field

Tools

Python

TensorFlow/PyTorch

Job description

Aquent is seeking exceptional talent to partner with a leading global financial institution, a trailblazer at the forefront of innovation and 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 committed to excellence, constantly pushing the boundaries of what’s possible in financial technology, and make a profound impact on global financial security. 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 financial systems and customers. Your expertise will not only optimize 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.

Client Description

Freelancing long-term with Aquent gets you access to some pretty cool things:

• You’re paid weekly
• Subsidized health and dental benefits after your first four weeks of work (averaging at least 20 hrs/wk)
• Paid Sick Leave for all US and Canada talent
• Access to Fidelity 401(k) with company match
• Access to FSA Program (pre-tax payment toward bus or train passes, etc.)
• Direct deposit for your paycheck
• Access to our Talent Rewards Program (we reward for referrals!)
• Access to free online courses via Aquent’s Gymnasium, to help you develop your skills: http://gymnasium.aquent.com/
• Aquent support: your Aquent Agent checks in with you during the course of your contract to make sure you’re happy and progressing according to your expectations (we’re also there to be looking for new opportunities for you when you’re close to wrapping up)