Senior Fraud Analytics Engineer

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

Benefits offered by this job

Equity stake

Discretionary annual bonus

Flexible work environment

WFH stipend

Unlimited PTO

Family leave

401(k) matching

Student loan matching program

Health insurance

Vision insurance

Dental insurance

Life insurance

Headspace subscription

Tickets to live events

Music subscription

Job summary

SeatGeek is looking for a Senior Analyst on the Risk Analytics team to drive fraud prevention through data analytics, modeling, and AI-enhanced workflows. You will build Python-based analyses, run experiments, and own model calibration and monitoring.

You will work with cross-functional partners to translate insights into actionable routing decisions and vendor evaluations, leveraging Looker/Hex for dashboards and data views.

Qualifications

• 3+ years of experience in fraud analytics, risk, fintech, or a quantitatively demanding analytical role.
• Strong Python skills with pandas, scikit-learn, statsmodels, or equivalent libraries.
• Strong SQL; you can own complex data pulls, understand warehouse structures, and build views and models.
• Solid statistical grounding: design statistically valid experiments, perform significance testing, assess calibration.
• Hands-on experience building, training, and validating classification models; handle class imbalance.
• Genuine enthusiasm for AI tools and AI-assisted workflows; explore automation opportunities.
• Familiarity with fraud vendors such as Forter, Riskified, Sardine; Looker or similar BI tools is a plus.

Responsibilities

• Build and maintain Python-based analyses, models, and data pipelines that support fraud decisioning, vendor evaluation, and risk scoring.
• Design and run statistical experiments from hypothesis through measurement, including A/B tests.
• Develop and iterate on fraud risk models with calibration, validation, and monitoring.
• Use AI tools to move faster; embed AI into analytical processes and automate repetitive tasks.
• Contribute to vendor performance analysis and routing decisions; surface insights for contracts.
• Build and maintain dashboards and data views in Looker and Hex to support analytics.
• Monitor fraud and operations metrics; investigate anomalies and propose actions.
• Collaborate with Risk Ops, Engineering, Payments, and CX to translate analysis into action.

Skills

Python

SQL

Data pipelines

Pandas

Scikit-learn

A/B testing

Fraud analytics

Statistics

AI tools

Looker/BI

Tools

Looker

Hex

Forter

Riskified

Job description

SeatGeek is looking for a Senior Analyst on the Risk Analytics team to drive fraud prevention through data analytics, modeling, and AI-enhanced workflows. You will build Python-based analyses, run experiments, and own model calibration and monitoring.

You will work with cross-functional partners to translate insights into actionable routing decisions and vendor evaluations, leveraging Looker/Hex for dashboards and data views.