Lead Fraud Analytics Implementation Manager [AQ-17364]

Aquent; Irving (TX); Hybrid; USD 95,000 - 125,000; Full time

Benefits offered by this job

Weekly pay

Health and dental benefits

Paid sick leave

401(k) with company match

FSA program

Direct deposit

Talent rewards program

Free online courses (Gymnasium)

Job summary

Aquent is seeking a Lead Fraud Analytics Implementation Manager for a ~12-month contract with hybrid on-site work (3 days/week) in Dallas/Irving, TX, plus other locations. The role requires evaluating and deploying advanced fraud detection models within our enterprise fraud framework, coordinating with Mastercard and MRM for approvals.

You will bridge data science and business execution, lead deployment, and align stakeholder priorities while driving model performance and ROI across the

Qualifications

• Hands-on understanding of machine learning algorithms and model performance metrics (ROC‑AUC, precision/recall, log loss).
• Experience leading complex, multi-stakeholder technical deployments and model integration lifecycles.
• Direct experience navigating MRM compliance, governance, validation and approvals in financial services.
• Experience analyzing large transaction and risk datasets to drive operational decisions.

Responsibilities

• Benchmark, evaluate, and test existing and proposed fraud models; assess impact and ROI to prioritize work.
• Lead end-to-end deployment into the fraud ecosystem; coordinate with MRM for validation and approvals.
• Direct cross-functional roadmaps combining data science, infrastructure, and rules engine updates.
• Collaborate with fraud ops and rule teams to integrate model scores into active rules and payment paths.
• Serve as the central liaison between data science, technology partners, MRM, and risk executives.

Skills

Data science

Project management

Model Risk Management (MRM)

Analytics

Job description

Lead Fraud Analytics Implementation Manager

Engagement Duration: ~12-Month Contract

Location Policy: Hybrid (3 days/week on-site)

Locations: Dallas/Irving, TX | New Castle, DE | Jacksonville, FL | Sioux Falls, SD

Position Overview

We are seeking a Lead Fraud Analytics Implementation Manager with a strong data science and project management background to evaluate, optimize, and deploy advanced fraud detection models within our enterprise financial ecosystem.

In this role, you will bridge the gap between complex data science and business execution. You will independently evaluate the performance of 4–5+ machine learning models (including external vendor/Mastercard solutions), determine their business value, navigate the Model Risk Management (MRM) governance and approval process, and lead the technical deployment into our fraud detection framework.

Key Responsibilities

• Model Evaluation & Optimization: Benchmark, evaluate, and test existing and newly proposed fraud models; assess model performance, business impact, and ROI to drive prioritization.
• Implementation & Governance: Lead end-to-end model deployment into the fraud ecosystem. Partner closely with Model Risk Management (MRM) teams to drive model validation, documentation, and formal regulatory/internal approvals.
• Technical Project Management: Direct cross-functional roadmaps combining data science execution, infrastructure requirements, and rules engine updates to ensure smooth model integration.
• Rules & Detection Strategy: Collaborate with fraud operations and rule-building teams to integrate model scores into active fraud rules and payment execution pathways.
• Stakeholder Alignment: Serve as the central point of contact between data science teams, external technology partners (e.g., Mastercard), MRM, and business risk executives.

Required Qualifications & Skills

• Data Science Background: Proven hands‑on understanding of machine learning algorithms, model performance metrics (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 in financial services.
• Analytics Experience: Deep comfort analyzing large transaction and risk datasets to drive operational decision-making.

Preferred Qualifications

• 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 Mastercard enterprise fraud solutions.
• Financial Services: Experience within large‑scale financial institutions or complex banking environments.

Client Description

• 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)