Senior Data Analyst, SeatGeek
Risk Analytics
$108-157k
Plus Equity stake and Discretionary annual bonus
Ticketing platform for live events
Be an early applicant
Ticketing platform for live events
501-1000 employees
Be an early applicant
$108-157k
Plus Equity stake and Discretionary annual bonus
501-1000 employees
Company mission
To power a new, open entertainment industry where fans have effortless access to experiences, and team, venues, and shows have seamless access to their audiences.
Role
Who you are
- 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
What the job involves
- 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
- 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 escalate 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
Our take
For many fans, buying tickets online can be a time-consuming and frustrating process. SeatGeek is setting out to ease this problem by powering an open entertainment industry that provides fans with greater access to experiences, while enabling teams, venues, and shows to have seamless access to their audiences.
SeatGeek launched with a laser-sharp focus on creating a customer-oriented ticketing marketplace for sports and live events. Its commitment to optimizing fan experience has helped distinguish the company from rivals, such as Ticketmaster and Live Nation, with its expanding suite of simple features that have made it the highest-rated and most trusted ticketer.
SeatGeek has secured integration partnerships with Facebook, Spotify and Snapchat, and has an impressive client list that includes the Dallas Cowboys, Manchester City FC, and the Brooklyn Nets. It continues to onboard enterprise clients, expand its international presence and release new products such as "Next Fan Up", positioning it well for future success.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Aug 2022
$238m
SERIES E
Apr 2017
$77.4m
SERIES D
Total funding: $418.6m
Company benefits
- Benefits: We provide access to high-quality health insurance coverage, ample paid time off, and a matching 401k program.
- Parental leave: Congrats on welcoming a bundle of joy into your life! We offer 16 weeks of leave in a 12-month period.
- Subscriptions: Health and wellness are incredibly important so we cover employee subscriptions to services like One Medical, Ginger.io and Headspace.
- Team events: Regular virtual team hangs & happy hours are essential, especially while we’re all working remotely. We also put our typical day-to-day work aside for company-wide hackathons 3-4 times per year.
- Ticket perk: SeatGeek employees receive a monthly ticket-purchase stipend for live events!
- Flexible work environment: 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.
Company HQ
Flatiron District, New York, NY
Leadership
Jack Groetzinger
(Co-Founder & CEO)Jack is also a Founding Partner at Founder Creative. Previously, he founded Scribnia and worked as an Associate Consultant at Bain & Company.
Russell D'Souza
(Co-Founder)Previously, Russell co-founded Scribnia and worked as an Analyst at Monitor Group.
Eric Waller
(Co-Founder & CTO)Eric previously co-founded Niqos where he worked as a Web Developer for 3 years. He also served as a Web Developer at Tickerhound and as a User Experience Engineer at Amie Street.
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