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Director of Data Science & Engineering, Fraud Platform

Job in Houston, Harris County, Texas, 77001, USA
Listing for: Zepz
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Director of Data Science & Engineering, Fraud Platform

Join Zepz:
Breaking Down Borders, Together

At Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal, we provide a lifeline and deliver opportunities to cross-border communities that need it most through cutting edge finance and tech. Zepz is the power behind World Remit and Sendwave, driven by the mission to celebrate the incredible impact migrants have, both at home and abroad.

We're not just moving money; we're building a world that truly recognizes and supports global connections.

Who You'll Be Joining We look for mission-driven builders who thrive in a fast-paced environment connected to a true purpose. We’re an always developing team of experts that enjoy problem solving and bring clarity to tough challenges. At Zepz, we are Relentless Learners, always seeking feedback, and Responsible Owners, treating company resources like our own. We depend on Transparent Communicators who keep the team aligned through open, honest talk.

Our

Core Commitments — What We Live By
  • Integrity:
    We always do the right thing. It’s simple, but it’s the foundation of everything we build for our customers and each other.
  • Outcomes:
    We work for our customers. Their success and prosperity are the results we focus on delivering.
  • Velocity:
    We are fast! We maintain high energy levels and make smart decisions quickly, keeping us nimble and ahead of the curve.
Perks of Joining Our Team

We believe in empowering colleagues because we genuinely trust our team. Our culture is founded on this high trust, which naturally encourages the high ownership that drives us to meet our shared high expectations and deliver high performance. While we have all the tools to work remotely, we value the purpose and benefits of in-person connections so we expect our teams to come together for team off-sites and connects.

Alongside a great flexible working environment, think unlimited annual leave , great healthcare benefits, and employee discounts. We want you to thrive and focus entirely on making your biggest impact! In turn, we expect you to bring high ownership and commitment to your work. This is a place where we value trust and high performance, and we'll provide the environment and support needed for you to excel

About the role

This is a high-visibility, high-accountability role — outcomes are reported to C-level and the board, and the role owns both the data strategy and the model performance behind systems that directly protect revenue and customer trust. The mandate in one line: own what data is generated and how it is generated and consumed across the Identity and Financial Crime domains. Almost every consequential decision Zepz makes about a transaction — is this person who they say they are, is this payment safe, is this account compromised — is a decision made on data.

Identity is our single largest producer of that data. Financial Crime is our single largest consumer of it. Both sit in the same engineering organization, and today no one owns the path between them. The result is a permanent tax on everything downstream: problems discovered late, by the people least able to fix them  role exists to remove that tax.

You will lead a team of 25+ Data Scientists, Machine Learning Engineers and Analytics Engineers across the Identity and Financial Crime domains

What you will own
  • Own the definition, generation, quality and consumption of data across the Identity and Financial Crime domains — what gets produced, what it means, what guarantees come with it, and who is accountable when those guarantees are not met.
  • Make data quality an engineering discipline rather than a downstream cleanup exercise: producer/consumer contracts,…
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