Director, Fraud Platform Data Science & Engineering

Zepz; Greater London; Hybrid; GBP 150,000 - 230,000; Full time

Benefits offered by this job

Unlimited annual leave

Healthcare benefits

London office access

Job summary

Zepz, a global payments company behind WorldRemit and Sendwave, seeks a Director of Data Science & Engineering for Fraud Platform. You will own data strategy, model performance, and end-to-end fraud detection across Identity and Financial Crime domains.

You will lead 25+ engineers and data scientists, partner with engineering managers, scale teams, and drive data quality, governance, and production ML. This is a hybrid London-based role with global impact.

Qualifications

• 8+ years of technical experience in a hybrid IC/management role.
• Proven experience leading FinCrime/Fraud or Identity teams.
• Experience with production ML in a real-time context (model monitoring, drift detection, retraining).
• Track record of leading mixed technical teams—Data Scientists, ML Engineers, Analytics Engineers.
• Fluency with modern lakehouse and analytics engineering practice: Databricks (or equivalent), dbt-style transformations, feature stores.

Responsibilities

• Own the data definition, generation, quality and consumption across Identity and Financial Crime domains.
• Lead a team of Data Scientists, ML Engineers and Analytics Engineers across the two domains.
• Own the models and analytics behind fraud/financial crime detection, including feature engineering, deployment, monitoring and retraining.
• Partner with Engineering Managers and the central data function to build domain data products and data quality practices.
• Set standards with Identity engineering teams to improve upstream data production and data quality.

Job description

Zepz, a global payments company behind WorldRemit and Sendwave, seeks a Director of Data Science & Engineering for Fraud Platform. You will own data strategy, model performance, and end-to-end fraud detection across Identity and Financial Crime domains.

You will lead 25+ engineers and data scientists, partner with engineering managers, scale teams, and drive data quality, governance, and production ML. This is a hybrid London-based role with global impact.