Fraud Group Manager

We offer the industrys only platform that fuses customer identity and anti-fraud solutions customer identity management identity verification and fraud prevention.

We sell to industries with large consumer-facing businesses such as: banking financial services insurance fintech gaming ecommerce/retail telco / media utilities etc.

About the Role:

The Fraud Group Manager leads the professional organization responsible for the Intelligence Core of Transmit Securitys fraud detection products. You manage three specialized teamsFraud Data Science Fraud Research and Fraud Analyticsthat implement the core logic our customers use to fight fraud.

In this role you arent just a strategist; you are a Production Owner. You are responsible for the health observability and continuous improvement of detection logic in live environments. You work in a high-impact triad with Product Management and Platform Engineering serving as the bridge between deep technical expertise and the customers who rely on our product to protect their business.

What youll do:

Group Leadership & Customer Engagement

• Direct Management: Lead and scale a multidisciplinary organization of Data Scientists Researchers and Analysts.
• Customer Fronting: Act as the primary technical fraud authority for our customers. You will join high-stakes meetings with CISOs and Fraud Heads to explain our detection logic address performance concerns and align our roadmap with their evolving threat landscape.
• Stakeholder Orchestration: Partner with Product Management to define the what and Platform Engineering to ensure the how (infrastructure) meets your groups logic requirements.

Production Ownership & Quality Systems

• Detection Observability: Own the end-to-end monitoring and health of fraud detection in production. You ensure that we have the visibility to know if a model is degrading or a specific customers detection is underperforming.
• On-Call for Performance: Serve as the escalation point for critical detection failures or sudden spikes in false positives/negatives ensuring rapid mitigation for impacted customers.
• Quality Assurance Framework: Create and maintain a robust quality system (CI/CD for fraud logic) to ensure smooth ongoing updates to detection models and heuristics without disrupting customer environments.
• Lifecycle Management: Oversee the continuous tuning and optimization of live detection logic based on real-world feedback loops.

Technical Execution

• Hands-on Vetting: Maintain deep technical fluency. You must be able to review Python code validate complex SQL queries and interpret model performance metrics to ensure they meet Transmits high standards.
• Logic Governance: Define the schemas and standards for how detection logic is developed ensuring that research insights are effectively operationalized by the Data Science team.

What youll need:

• Technical Leadership: 8 years in fraud detection or cybersecurity with 3 years managing multidisciplinary technical teams (DS Research Analytics) in a product-first environment.
• Production Experience: Proven track record of owning production systems including implementing observability on-call rotations and automated quality checks.
• Customer-Facing Skills: Strong ability to communicate technical fraud concepts to enterprise clients and senior stakeholders.
• Coding Proficiency: Mastery of Python and SQL is mandatory. You must be capable of hands-on data exploration and code review.
• ML & Logic Literacy: Deep understanding of the machine learning lifecycle and how to deploy heuristics and models in low-latency high-scale environments.
• SaaS/Security Expertise: Experience building products that serve external customers with a focus on reliability and Smooth Updates (e.g. blue/green model deployments).

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