Senior Data Analyst, Risk Analytics
SeatGeek · New York, New York
Posted 20 days ago · $108,000 - $157,000
or apply directly on SeatGeek's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 days SeatGeek's roles stay open a median of 21 days
- Reposted
- No
- Salary listed
- Yes 100% of SeatGeek's roles list one
- Ghost-job risk at SeatGeek
- moderate 10 stale, 0 reposted of 32 open
- Hiring momentum
- 55 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from SeatGeek's own greenhouse board since 2026-08-03. Full hiring picture for SeatGeek.
About this role
As a Senior Data Analyst on the Risk Analytics team at SeatGeek, you will focus on fraud prevention by building models, running experiments, and developing tools to enhance decision-making. Your responsibilities include creating Python-based analyses and data pipelines, designing statistical experiments, and utilizing AI to automate processes. Collaboration with cross-functional teams is key as you translate analytical insights into actionable strategies.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SeatGeek as an employer.
What you need
- 3+ years of experience in fraud analytics, risk, fintech, or a quantitatively demanding analytical role
- Strong Python skills; proficiency with pandas, scikit-learn, statsmodels, or equivalent libraries
- Strong SQL skills; ability to own complex data pulls and build views and models
- Solid statistical grounding; ability to design statistically valid experiments and communicate findings
- Hands-on experience building, training, and validating classification models
- Genuine enthusiasm for AI tools; experience with LLMs and code generation
Nice to have
- Familiarity with fraud vendors such as Forter, Riskified, or Sardine
- Experience with Looker or similar BI tools
What you get
- Equity stake
- Discretionary annual bonus
- Flexible work environment
- WFH stipend
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
Worth weighing
- Salary range provided, but actual compensation may vary based on various factors
- Role involves significant ambiguity, requiring proactive problem definition
- Focus on AI tools may indicate a shift in traditional analytics methods
Summarised from SeatGeek's posting. Read the full original.
Listed by SeatGeek on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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