Director, FSI Predictive Technology

What you'll do

• Set technical strategy, architecture, and roadmap for reusable fraud platforms and detection capabilities.
• Partner across engineering, data science, product, risk, security, and customer teams to deploy and improve detection systems.
• Define effectiveness metrics and lead analysis and improvements when fraud bypasses existing controls.

What they ask for

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent experience.
• 15+ years of progressive software engineering or related technical experience, including 6+ years leading and managing complex, cross-functional engineering organizations.
• Significant experience designing, building, or operating large-scale fraud, abuse, risk, security, detection, or machine learning systems.
• Experience with production platforms or APIs, detection methodologies, and real-time, high-volume, distributed, or event-driven systems.

Nice to have

• Experience with graph analytics, graph machine learning, entity resolution, link analysis, or adaptive fraud detection.
• Experience applying generative AI or LLMs to fraud detection, investigations, threat analysis, case summarization, or analyst workflows.

Pay

320,000 USD - 488,750 USD (base salary)

Tools

machine learning, graph analytics, APIs, data pipelines, feature engineering, model inference, streaming, LLMs

AI focus

Uses AI and machine learning for fraud detection, anomaly detection, risk scoring, and response; preferred experience includes generative AI or LLM applications for investigations, threat analysis, case summaries, or analyst workflows.