Senior Fraud Analytics Engineer - Remote

SeatGeek; United States; Remote; USD 108,000 - 157,000; Full time

Benefits offered by this job

Equity stake

Discretionary annual bonus

Flexible remote work environment

WFH stipend

Unlimited PTO

Family leave (up to 16 weeks)

401(k) matching

Student loan matching

Job summary

SeatGeek is seeking a Senior Analyst for Risk Analytics to shape fraud prevention decisions. You will build and maintain Python-based analyses and data pipelines, run experiments, and develop risk models using transaction and vendor data.

You will drive AI-enabled workflows and collaborate with Engineering, Payments, and CX to translate insights into action. You will design experiments, validate models, and communicate results to non-technical stakeholders while leveraging Looker for dashboards

Qualifications

• 3+ years of experience in fraud analytics, risk, fintech, or a quantitatively demanding analytical role.
• Strong Python skills; you build end-to-end analyses and pipelines independently, and are proficient with pandas, scikit-learn, statsmodels, or equivalent libraries.
• Strong SQL; you can own complex data pulls, understand warehouse structures, and build views and models that others rely on.
• Solid statistical grounding: you can design statistically valid experiments, perform significance testing, assess model calibration, and communicate findings clearly to a non-technical audience.
• Hands-on experience building, training, and validating classification models independently; familiarity with model evaluation methods, handling class imbalance, and translating model outputs into business decisions.
• Genuine enthusiasm for AI tools: you actively use LLMs and code generation in your day-to-day work, think about how to design AI-assisted workflows, and take initiative in identifying where AI can replace manual effort.

Responsibilities

• Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning, vendor evaluation, and internal risk scoring.
• Design and run statistical experiments from hypothesis through measurement and communication of results, including A/B tests on routing changes, holdout experiments, and vendor performance assessments.
• Develop and iterate on internal fraud risk models using SeatGeek transaction and vendor data; own model calibration, validation, and ongoing performance monitoring.
• Actively use AI tools including LLMs, code generation, and agentic workflows to move faster and build smarter; help define how AI gets embedded into the team’s analytical processes, and identify opportunities to automate work currently done manually.
• Contribute to vendor performance analysis: assess score calibration, measure lift across segments, and surface findings that inform routing decisions and contract discussions.
• Build and maintain dashboards and reports in Looker and Hex; develop SQL models and data views to support the team’s analytical needs.
• Monitor fraud and operations metrics, investigate anomalies, and elevate findings with a clear point of view on recommended actions.
• Collaborate with Risk Ops agents, the manager, and cross-functional partners in Engineering, Payments, and CX to translate analysis into action.

Skills

Fraud analytics

Python

SQL

Statistics

Classification models

AI tooling

Ambiguity handling

Fraud vendors familiarity

Tools

pandas

scikit-learn

statsmodels

Looker

BI tools

Job description

SeatGeek is seeking a Senior Analyst for Risk Analytics to shape fraud prevention decisions. You will build and maintain Python-based analyses and data pipelines, run experiments, and develop risk models using transaction and vendor data.

You will drive AI-enabled workflows and collaborate with Engineering, Payments, and CX to translate insights into action. You will design experiments, validate models, and communicate results to non-technical stakeholders while leveraging Looker for dashboards