Anti-fraud Analyst

Remote work is possible, preferred time zones GMT+5 to GMT+10

We're looking for a strong, product-minded Antifraud Analyst who can work end-to-end and make calls independently. This isn't a "run the report and hand it off" role. You'll own the fraud detection layer - understanding the mechanics, building new controls from scratch, and constantly asking how do we make this better.

If you've spent time thinking about fraud systems the way a product manager thinks about a feature - you'll fit right in.

Responsibilities:

• Design, build, and maintain data pipelines for fraud detection

• Develop and optimize SQL-based data transformations for large-scale datasets

• Ensure data quality, consistency, and integrity across antifraud systems and datasets

• Build and maintain feature tables for fraud rules and scoring models

• Work with streaming and event-based data (e.g., transactions, logins, device signals)

• Optimize query performance and data models for high-volume data (millions+ records)

• Develop, implement, and maintain fraud detection rules (SQL / rule engines)

• Analyze fraud patterns (ATO, card fraud, onboarding fraud, etc.) and translate them into data-driven controls

• Monitor rule performance (false positives / false negatives) and continuously improve detection logic

• Perform deep-dive analysis of fraud cases and emerging patterns

What we expect from candidate:

• Strong SQL expertise

• Attention to detail and data accuracy

• Ability to communicate findings to both technical and non-technical stakeholders

• Ownership mindset and proactive approach

What we offer

• Passionate international team spanning the globe

• Rapid professional growth. Merit (and merit only) rules the day

• Reward for performance and long-term success of Salmon

• Fast track to grow internationally

• New office in Manila, Philippines

• Relocation support for eligible candidates

• Remote and hybrid options

• Medical insurance, health and wellness benefits

• Program of events and activities both online and in person