Welcome to WeWard 👋

At WeWard, our mission is simple: encourage people to walk more every day by turning real-world activity into real rewards. Through our mobile app, millions of users across Europe (and beyond) are motivated to move more — and we’re only getting started.

We are looking for a Lead Fraud Ops to take on one of WeWard’s most critical challenges: protecting a fast-growing app (25M+ users worldwide) from fraud, while keeping the experience fair and rewarding for millions of walkers.

Reporting directly to Aurélien (CTO), you will play a central role inside the Data team and work closely with all departments (Tech, Product, Growth, Customer Support, Finance). You’ll be the bridge between field investigation, user behavior analysis, and technical solutions. 🚀

Your mission will be to detect, investigate, and outsmart fraudsters: from spotting suspicious patterns to interviewing users, reproducing fraud schemes, and transforming insights into concrete fixes with the Tech team.

This role is key to WeWard’s success: you will directly shape how we safeguard our economy, protect revenues, and keep trust at the heart of our product!

By joining WeWard, you’ll step into a position with high visibility, strong ownership, and immediate impact on both our business and our community.

Role Responsibilities

• Own the fraud and risk strategy across the product, combining quantitative analysis with advanced qualitative investigations.

• Lead complex and sensitive investigations, deep-diving into user behaviors, fraud mechanics, and systemic vulnerabilities.

• Translate field and data insights into clear product, tech, and risk roadmaps, influencing prioritization and design decisions.

• Drive end-to-end remediation: issue prioritization, coordination with senior engineers, and long-term risk mitigation.

• Build and maintain a 360° view of risk (user fraud, payment flows, operational and banking vulnerabilities).

• Act as a senior stakeholder for payment, cashout, and gift card flows, balancing fraud prevention and user experience.

• Serve as the main point of contact for banking and redeem partners, overseeing anti-fraud topics, SLAs, and financial flow integrity.

• Define the right balance between automation, tooling, and human review, improving detection efficiency at scale.

• Lead continuous improvement initiatives: behavioral scoring, dashboards, alerting systems, and process automation.

• Partner closely with Product, Tech, Data, Customer Support, Finance, and Admin teams to align fraud strategy with business growth.

• Contribute at a strategic level to R&D initiatives on fraud detection, behavioral modeling, and risk anticipation, including thought leadership and publications.

What we’re looking for

• Education: Master’s degree (Engineering, Statistics/Data, MIAGE, or equivalent).

• Experience: +4 years as a Fraud Analyst, Risk Analyst, Business Analyst, or similar role in a B2C/app/fintech environment, ideally with some exposure to fraud or user investigation.

Skills:

• Strong in SQL and Excel (must-have).

• Python is a big plus.

• Experience with analytics tools (Amplitude or equivalent).

Mindset:

• Comfortable with both quantitative analysis and direct user interaction (you don’t mind picking up the phone or talking with users on Discord, Reddit, or Telegram).

• Curious and persistent: you don’t stop at the first “fake” explanation.

• Able to form hypotheses and test them quickly in the field.

• Great at making things simple: you can explain insights without unnecessary jargon.

• Impact-driven, pragmatic, and motivated by the thrill of finding loopholes.

• Languages: Fluent in French, good command of English.

Recruitment timeline

• 30-min technical chat with your future manager, to dive into the role and missions.

• Case study + 1-hour debrief with the Tech team, including time for mutual feedback.

• 30-min call with HR, to discuss your background & expectations

• Office tour to meet other team members.

We finish with a tour of our offices to introduce you to other members of the team. And finally, if all goes well… Welcome! 🎉