> Markdown version of [/jobs/ext/1206287-lead-financial-crime-data-science-data-engineering](https://www.wearedevelopers.com/jobs/ext/1206287-lead-financial-crime-data-science-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead, Financial Crime Data Science & Data Engineering - **Company:** WorldPay - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Information Engineering, Fraud Prevention and Detection, Intrusion Detection and Prevention, Machine Learning, Performance Tuning, Model-Driven Development, Performance Monitor, Data Pipelines - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8dc53b8400b8b44e ## About the Role * 7+ years of experience in data science, machine learning, or data engineering. * Proven experience leading teams in fraud detection, AML transaction monitoring, or credit risk. * Demonstrated experience delivering detection logic (rule-based and model-driven) in production environments. * Experience working in regulated financial services or fintech environments preferred. * Exposure to model risk management frameworks (e.g., SR 11-7) and regulatory interactions. It's a bonus if you have * Payments experience * Masters degree or higher in Data Science or Data Engineering ## Description Make your mark at one of the biggest names in payments. We are seeking a hands-on, execution-focused Lead of Financial Crime Data Science & Data Engineering to build and advance the capabilities that power our transaction monitoring program and help shape the future of global commerce. What You'll Own Detection Strategy & Performance * Own detection logic performance (rule-based and model-driven), ensuring effectiveness across fraud, credit, and AML monitoring. * Define and refine detection strategies based on emerging fraud typologies, regulatory requirements, and operational outcomes. * Establish and monitor performance metrics (precision, recall, false positives, alert quality), driving measurable improvements. * Influence tradeoff decisions between detection coverage, false positives, and operational cost, aligned to risk appetite. Data Science & Detection Logic Development * Lead the development, validation, and deployment of detection logic (rule-based and model-driven), ensuring delivery through data science and ML engineering teams. * Direct analytical efforts to identify emerging fraud patterns and translate insights into implemented detection logic improvements. * Ensure detection approaches balance statistical rigor, explainability, and operational usability. * Support the detection logic lifecycle, including monitoring, retraining, and performance optimization. Data Engineering & Pipeline Enablement * Lead the design and ensure delivery of scalable batch and real-time data pipelines supporting detection logic and analytics. * Define and enforce standards for data quality, validation, lineage, and pipeline reliability. * Ensure data engineering capabilities support detection performance, regulatory reporting, and model lifecycle requirements. * Partner with platform and engineering teams to deliver infrastructure aligned with detection logic needs. * Drive execution discipline across data engineering workstreams, ensuring clear ownership, timelines, and delivery accountability. Detection Logic Lifecycle Execution (Rules + Models) * Own the end-to-end lifecycle for detection logic (rule-based controls and model-driven signals), including design, prioritization, testing, deployment, and optimization. * Ensure implementation is delivered through structured processes with clear ownership, controls, and timelines. * Drive continuous refinement of detection logic using performance data, investigation outcomes, and emerging risk signals. * Maintain alignment between detection logic and operational workflows. Governance & Regulatory Alignment * Define and ensure adherence to governance standards for detection logic, including documentation, validation, and change management. * Support compliance with regulatory expectations (BSA/AML, OFAC, FinCEN, SR 11-7). * Partner with Model Risk Management, Compliance, and Internal Audit to support validation and regulatory reviews. * Ensure detection approaches meet explainability and auditability standards required for regulatory scrutiny. Cross-Functional Partnership & Influence * Serve as the primary technical partner to Fraud Operations, Compliance, and Technology teams. * Translate regulatory and operational requirements into detection logic, data priorities, and execution plans. * Drive alignment across teams to enable effective implementation of detection capabilities. * Influence upstream decisions in data, product, and platform domains that impact detection performance. Team Leadership & Capability Development * Lead and develop a team of data scientists, data engineers, and ML engineers. * Establish clear priorities, performance expectations, and accountability for delivery. * Provide technical guidance and mentorship while enabling team members to own execution. * Build and strengthen capabilities across detection modeling, data engineering, and analytics. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Practical performance tuning for Serverless Java on AWS](https://www.wearedevelopers.com/videos/2075-practical-performance-tuning-for-serverless-java-on-aws) - [Unleashing the power of AI to prevent financial crime](https://www.wearedevelopers.com/videos/1088-unleashing-the-power-of-ai-to-prevent-financial-crime) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Jobs in Tech: The State of the European Market](https://www.wearedevelopers.com/magazine/575-jobs-in-tech-the-state-of-the-european-market)