Senior Data Analyst, Risk Analytics at SeatGeek - Remote

The Briefed; Northern (KY); Hybrid; USD 108,000 - 157,000; Full time

Benefits offered by this job

Equity stake

Discretionary annual bonus

Flexible work environment (remote or O

WFH stipend

Unlimited PTO

Family leave (up to 16 weeks)

401(k) matching

Student loan matching

Health, vision, dental, life insurance

Wellness stipends ($500/year)

Tickets to live events ($360/quarter)

Music subscriptions (Spotify/Apple/Ama

Job summary

SeatGeek is seeking a Senior Analyst on the Risk Analytics team to drive fraud prevention strategies through models, experiments, and automation. You will build Python-based analyses and data pipelines, run experiments, and own model calibration and monitoring while using AI to streamline workflows.

You will collaborate with Risk Ops, Engineering, Payments, and CX to translate insights into action, develop Looker/Hex dashboards, and assess vendor performance.

Qualifications

• 3+ years of fraud analytics, risk, fintech, or quant-heavy roles.
• Strong Python skills and end-to-end analyses and pipelines.
• Proficient SQL with complex data pulls and warehouse understanding.
• Solid statistical grounding and experimental design.
• Experience building, training, and validating classification models.
• Interest in AI-enabled workflows and automation.
• Familiarity with Looker or similar BI tools a plus.

Responsibilities

• Build and maintain Python-based analyses, models, and data pipelines for fraud decisioning and risk scoring.
• Design and run experiments, including A/B tests and holdouts; evaluate results.
• Develop and iterate fraud risk models using SeatGeek data; calibrate and monitor performance.
• Leverage AI tools to automate analysis and workflows; embed AI into processes.
• Contribute to vendor performance analysis and routing decision insights.
• Create dashboards and SQL views in Looker and Hex to support analytics needs.
• Monitor fraud metrics, investigate anomalies, and recommend actions.
• Collaborate with Risk Ops, Engineering, Payments, and CX to translate analysis into action.

Skills

Python

SQL

Statistical analysis

A/B testing

AI tooling

Ambiguity management

Team collaboration

Tools

Pandas

scikit-learn

Looker

Hex

SQL

Job description

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we're simplifying and modernizing the ticketing industry.

As a Senior Analyst on the Risk Analytics team, you will be the analytical engine behind our fraud prevention strategy. You will build models, run experiments, and develop tools that help us make smarter, faster decisions, reducing reliance on external black boxes and static rules. You will work closely with the Manager, Risk Analytics, owning the technical and statistical work that turns strategy into something measurable and executable. You will also be a key driver of how our team uses AI: not just adopting tools as they come, but actively building workflows, automating repetitive analysis, and thinking ahead about how AI can keep us one step ahead of increasingly sophisticated fraud.

What you'll do

• 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

What you have

• 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
• Comfort operating in ambiguity; you are expected to define the problem as much as solve it
• Familiarity with fraud vendors such as Forter, Riskified, or Sardine is a plus; experience with Looker or similar BI tools is a plus

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $360 per quarter to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $108,000 - $157,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

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