Fraud & AML Data Analyst

About this role

Shape the future of trust in the age of AI
At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.


Why Join Us

• Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.
• Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.
• Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.

Job Description
As a Data Analyst at Oscilar, you will be a trusted partner to our customers and will be responsible for providing the analytics, insights and recommendations to protect their business from fraudulent activities. As an early member of the product analytics team you will have great impact in building and scaling our managed services business.


Responsibilities
Fraud & AML Analytics

• Analyze large-scale transaction, account, and behavioral datasets to identify fraud, AML, and abuse patterns across:

• Onboarding (synthetic identity, fake accounts, mule risk)
• Account activity (ATO, session hijacking, social engineering)
• Payments (card-not-present fraud, ACH/wire fraud, crypto typologies)

• Develop risk segmentation, cohorts, and KPIs (fraud rate, approval rate, loss rate, false positives).
• Evaluate rule-based and ML-driven decision strategies and quantify performance trade-offs.

Customer Risk Strategy & Enablement

• Partner with customers to:

• Diagnose their fraud and AML pain points
• Interpret model outputs, alerts, and decision logic
• Design and refine risk strategies using our platform

• Produce customer...