Why This Job is Featured on The SaaS Jobs
Security and fraud prevention sit at the core of many SaaS buying decisions, especially for platforms handling identity, payments, and high-volume consumer traffic. This Fraud Lead role stands out because it is positioned as the technical authority for a fraud engine that spans identity and anti-fraud capabilities, a domain where SaaS products must balance detection quality with real-time performance and integration complexity.
For a SaaS career, the remit offers durable leverage: shaping “business logic” that becomes product behavior, translating research into deployable systems, and closing the loop between customer environments and internal teams. The combination of architecture governance, hands-on prototyping in Python and SQL, and observability design maps closely to how mature SaaS companies operationalize data-driven features at scale across multiple tenants and industries.
This role tends to suit senior practitioners who enjoy being the connective tissue across research, data science, analytics, and platform engineering while also staying close to real customer implementations. It will appeal to professionals who prefer owning a domain end to end, can explain technical tradeoffs to external stakeholders, and want their impact measured through how reliably the product performs in live deployments.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
We offer the industry’s 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 Lead is the principal technical authority for Transmit Security’s fraud detection and response engine. You own the professional logic that powers our product, ensuring that the "Brain" of our platform is technically cohesive, scientifically rigorous, and market-leading.
You act as a System Architect for the fraud domain, connecting the dots between Research, Data Science, and Analytics. Crucially, you serve as the primary technical consultant for our customers, helping them understand, integrate, and optimize the fraud logic that protects their environments. You work alongside a separate Product group (who defines the roadmap) and a Platform Engineering group (who builds the infrastructure).
What you’ll do:
Technical Domain Architecture
- Logic Blueprinting: Design the end-to-end technical logic for detection features—from telemetry ingestion to real-time response actions.
- Cross-Team "Glue": Ensure that Fraud Research insights are effectively operationalized by the Data Science team and surfaced correctly by the Analytics team.
- Architecture Governance: Set the technical standards for how detection logic is built, ensuring it is scalable and compatible with the Platform Engineering team’s infrastructure.
Customer Fronting & Technical Advisory
- Technical Subject Matter Expert: Act as the lead technical consultant for high-value customers. You will lead "deep-dive" sessions with client-side engineers and fraud experts to explain our detection methodologies and data requirements.
- Integration Strategy: Advise customers on how to best leverage our technical logic within their specific business contexts.
- Feedback Loop: Translate complex customer technical needs and "edge case" fraud patterns back into technical requirements for the internal fraud group.
Expert Implementation
- Hands-on Prototyping: Remain an expert practitioner in Python and SQL. You will prototype new detection methodologies and perform technical validation of production models.
- Quality & Observability: Design the technical frameworks that ensure our detection logic remains performant and observable in live customer environments.
What you’ll need:
- Senior Domain Expertise: 8+ years in fraud detection, risk engineering, or cybersecurity, specifically focused on building and shipping B2B products.
- Customer-Facing Experience: Proven ability to present complex technical architectures to external stakeholders (CTOs, CISOs, or Lead Architects).
- Coding Mastery: Expert-level proficiency in Python and SQL is mandatory. You must be able to write production-grade prototypes and audit complex data pipelines.
- Architectural Mindset: Experience acting as a Technical Lead or Domain Architect; ability to design systems that balance detection precision with platform latency.
- Engineering Literacy: Strong understanding of the software development lifecycle (SDLC), APIs, and cloud-native data environments to effectively partner with Platform/Infrastructure teams.
- Data Science Fluency: Deep understanding of feature engineering, model evaluation, and the challenges of deploying ML at scale.
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