Senior Fraud Risk Analyst – Sql – Python
| Company | Zip |
|---|---|
| Location | Remote in USA, Union City, NJ, USA |
| Salary | $108000 – $130000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Proficient in SQL, Python, or PySpark
- 3-5+ years of experience specifically in Fraud Strategy and/or Fraud Operational Analytics
- Deep familiarity with fraud domains: identity risk, device risk, transaction risk
- Proven experience as a fraud analyst with ownership of strategy development, implementation, and performance monitoring
- Advanced SQL skills are required; Python or PySpark experience preferred
- Experience with A/B testing and performance analytics in a risk or fraud context
- Strong written and verbal communication skills with the ability to influence both technical and non-technical stakeholders
- A data-driven mindset, eager to uncover patterns, derive insights, and drive improvements
Responsibilities
- Own and optimize the portfolio-level Identity and Fraud Risk strategy during underwriting
- End-to-end ownership of analytics: identify risk exposure or opportunity areas, define and design mitigation strategies (e.g. cutoffs, rules), execute tests (e.g. A/B testing), and monitor effectiveness post-implementation
- Lead the development and implementation of go-to-market fraud strategies and proactively incorporate new data sources and signals into decisioning frameworks
- Monitor and optimize fraud decisioning performance – approvals, declines, false positives, and chargebacks, across key fraud vectors (identity risk, device risk, transaction risk)
- Develop risk rules and cutoffs that balance fraud mitigation and customer experience
- Identify and source innovative fraud detection signals and tools (device fingerprinting, behavioral data, etc.)
- Collaborate with our Machine Learning and Fraud Review teams to iterate on strategy, detect trends, and respond rapidly to emerging fraud threats
- Maintain and evolve risk governance documentation, including fraud policies and operational procedures
- Stay up-to-date on industry trends, fraud tactics, and mitigation techniques
Preferred Qualifications
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus