Related skills
sql machine learning rest api design fraud preventionπ Description
- Own the Behavioral Analytics roadmap and end-to-end product lifecycle.
- Lead technical execution: deliver lightweight SDKs and real-time pipelines.
- Data Science Partnership: define feature extraction and model performance criteria.
- Continuous Discovery & Experimentation: prototype to de-risk solutions.
- Cross-Suite Integration: align with Digital Intelligence suite for a unified risk score.
- Go-to-Market Strategy: collaborate with marketing and sales to drive adoption and docs.
π― Requirements
- 5+ years PM experience; 2+ years in a technical domain (fraud/identity/cybersecurity).
- SQL & data analysis; API design (REST/JSON); ML basics; SDKs; browsers/iOS/Android.
- Outcome over output focus; KPIs like False Positive Rates & Fraud Detection.
- Discovery mindset: continuous discovery, customer conversations, rapid experiments.
- Problem solving: break down complex problems into shippable iterations.
- Bonus: Behavioral Analytics/Biometrics domain exp; competitor and regulatory knowledge; mobile SDK exp.
π Benefits
- Remote-friendly work environment.
- Equal opportunity employer.
- Accommodation during any stage of the application/hiring process.
- Opportunity to work on cutting-edge Digital Identity and fraud prevention products.
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