Senior Data Analyst, Risk Analytics
New
S
SeatGeekTicketing, Fintech
Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotelyFull-TimeSenior
Salary$108,000 - $157,000 USD
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLPandasLookerscikit-learn
Requirements
- 3+ years of experience in fraud analytics, risk, fintech, or a similar quantitative role.
- Strong Python programming skills with proficiency in pandas, scikit-learn, and statsmodels.
- Advanced SQL skills for complex data pulls and model development.
- Solid statistical grounding including experimental design, significance testing, and model calibration.
- Hands-on experience building, training, and validating classification models.
- Demonstrated ability to translate model outputs into business decisions.
- Active experience using LLMs and code generation tools in analytical workflows.
- Comfort operating in ambiguous environments and defining technical problems.
- Familiarity with fraud vendors (e.g., Forter, Riskified, Sardine) is a plus.
- Experience with BI tools like Looker is a plus.
Responsibilities
- Build and maintain Python-based analyses, models, and data pipelines for fraud decisioning.
- Design and execute statistical experiments including A/B tests and holdout experiments.
- Develop and iterate on internal fraud risk models, owning calibration and performance monitoring.
- Implement AI tools and agentic workflows to automate analytical processes and repetitive tasks.
- Evaluate vendor performance by assessing score calibration and informing routing decisions.
- Create and maintain dashboards and reports in Looker and Hex.
- Monitor operations metrics to identify anomalies and recommend actionable solutions.
- Collaborate cross-functionally with Risk Ops, Engineering, Payments, and CX teams.
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