Mercury
Finance / FinServ
StaffSoftwareEngineer-Fraud
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Software Engineer - Fraud at Mercury. Skills: architecture, implementation, long-term roadmap for core systems, end-to-end delivery of large cross-function projects, translating ambiguous high impact problems into strategy and execution, design, build, and operate highly available, low-latency, backend systems, Partner with Data Science and ML teams to productionize models, build reliable ML data pipelines, and enable real-time model serving, Establish and elevate department level best pra”
What You'll Achieve.
measurable outcomes; onboarding that feels effortless; onboarding that feels effortless, even though it’s powered by galaxies of data, precision, and care; ensuring every business that joins Mercury is both safe and their experience is delightful
Industry & Context.
translating ambiguous high impact problems into strategy and execution; make pragmatic tradeoffs; independently resolve cross team issues; comfortable driving discussions in areas with ambiguous ownership; approaches them with empathy; delights in getting outcomes; seek out ways to have an impact
What They're Looking For.
Must Have
7-10+ years of software development experience, with a focus on the backend, experienced technical lead making architectural decisions in the past and seen the impact of those decisions over time, clearly articulate your technical opinions and lay out tradeoffs, product-minded and has experience building and shipping new products balancing reliability and velocity, comfortable driving discussions in areas with ambiguous ownership, approaches them with empathy, and delights in getting outcomes, seek out ways to have an impact, ridiculously helpful, taking initiative to make your coworkers’ lives easier by investing time to mentor and proactively share your knowledge and learnings through writings, 1: 1s, and team meetings
Nice to Have
knowledge of or excitement to learn Haskell, Experience in fintech, fraud systems, or the broader risk domain is a plus
What You'll Do.
Lead the architecture
and long-term roadmap for core systems which support multiple fraud prevention use cases
Own the end-to-end delivery of large cross-function projects
translating ambiguous high impact problems into strategy and execution
make pragmatic tradeoffs
and drive teams to measurable outcomes
and operate highly available
backend systems that enable real-time scoring and decisioning for fraud prevention
Partner with Data Science and ML teams to productionize models
build reliable ML data pipelines
and enable real-time model serving
Establish and elevate department level best practices
drive engineering quality
and act as a trusted advisor on architectural tradeoffs
Mentor and grow engineers
documenting learnings and sharing technical direction through writing
Navigate and influence multiple stakeholders
communicate tradeoffs to technical and non-technical partners
and independently resolve cross team issues
How You'll Work.
Team & Collaboration
Partner with Data Science and ML teams; Navigate and influence multiple stakeholders; help align teams; communicate tradeoffs to technical and non-technical partners; independently resolve cross team issues; mentor and proactively share your knowledge and learnings through writings, 1: 1s, and team meetings
Communication Scope
clearly articulate your technical opinions; communicate tradeoffs to technical and non-technical partners
Process & Methodology
Own the end-to-end delivery of large cross-function projects, translating ambiguous high impact problems into strategy and execution, make pragmatic tradeoffs, drive teams to measurable outcomes
Full Job Description
Every new business that applies to Mercury is like a new star appearing in the night sky. On its own, it’s a single point of light. But when we look closer, patterns emerge—data trails from partners, filings, founders, and financial histories—all connecting to form a larger constellation. That’s what our Risk product engineering teams do at Mercury. We guide thousands of business applications through our systems—each one unique, each one needing a smooth and trustworthy landing. The challenge: keep everything moving fast without compromising safety. Every day, our work helps founders open their first account, launch their next idea, and accelerate their growth like rocketships. Our mission is to build the intelligent, automated systems and operational tools that make this possible—where machine learning, AI, and human judgment work seamlessly together to power the next generation of business banking*. We use intelligence to detect risks earlier, make real-time decisions with confidence, and enable instant, delightful account approvals that keep pace with the builders we serve. When we do it right, the result is quiet brilliance: onboarding that feels effortless, even though it’s powered by galaxies of data, precision, and care. We’re looking for a Staff Software Engineer to contribute with building the systems and tools that make it all happen—from application approvals to ongoing and enhanced due diligence—ensuring every business that joins Mercury is both safe and their experience is delightful. As part of this role, you will: Lead the architecture, implementation, and long-term roadmap for core systems which support multiple fraud prevention use cases. Own the end-to-end delivery of large cross-function projects, translating ambiguous high impact problems into strategy and execution, make pragmatic tradeoffs, and drive teams to measurable outcomes. Design, build, and operate highly available, low-latency, backend systems that enable real-time scoring and decision
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