Product Engineer, Fraud

Description

Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience. With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.

We believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.

About This Role

You’ll be the Fraud team’s technical “decisioning” Data Scientist—building real-time visibility into fraud performance, developing ML models that improve approval/decline decisions, and translating analysis into rules/strategies that reduce fraud and false positives.

Roles & Responsibilities

• Build real-time monitoring (dashboards + alerts)
• Design and own fraud KPIs and operational metrics (approval rate, fraud/chargeback rate, return rate, false positives, manual review load, conversion impact, latency).
• Build and maintain live dashboards and automated reporting for Fraud, Operations, and Product (near real-time where possible).
• Create alerting for anomalies (fraud spikes, rule regressions, vendor decision shifts, attacks like carding/fraud rings, data quality breaks).
• Define data contracts/definitions so metrics are consistent across teams and vendors.
• Build ML models that improve risk decisions
• Develop supervised and/or semi-supervised models to predict fraud risk and optimize accept/decline thresholds.
• Build features using transaction, customer, device, behavioral, and identity signals; validate performance and robustness.
• Run experiments (A/B tests, champion/challenger, backtesting) and quantify business impact (loss reduction, approval lift, cost-to-serve).
• Partner with engineering to productionize models (batch + streaming scoring when needed), monitor drift, and retrain on schedule.
• Analyze and propose new rules to reduce fraud and false positives
• Identify patterns and root causes of fraud losses and false positives; translate findings into rule proposals and strategy changes.
• Build rule logic that complements ML (hybrid approach) and is maintainable by Fraud Ops (clear documentation, test cases, rollout plans).
• Evaluate rule performance with pre/post analysis and guardrails (customer impact, operational workload, segment-level bias checks).
• Improve decision explainability so stakeholders can understand “why” decisions happen even when models are complex.
  
  

Position Requirements

• 3+ years in data science / risk / fraud / credit / trust & safety (or equivalent experience).
• Proven experience building decisioning models and deploying or operationalizing them.
• Strong SQL + Python; experience working with large-scale datasets and event pipelines.
• Experience with dashboarding/BI and building KPI frameworks (tool-agnostic).
• Bonus: experience with rules engines, vendor-managed decisioning, payments, chargebacks/returns, and identity signals.
  
  

Perks & Benefits

• Annual Salary Review
• Year-End Bonus
• 15% Off EEFT Stock
• Birthday Day Off
• Health, Cancer, Dental & Life Insurance
• Free Money Transfers with Ria
• ‍♂ SmartFit Gym Partnership
  
  

Ria Money Transfer is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Check out our website to learn more about the company at:http://www.riamoneytransfer.com/

The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company’s right to assign or reassign duties and responsibilities to this job as needed.