Senior Data Analyst, Risk Analytics
SeatGeek · Remote - United States
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 developing and maintaining analytical models and tools to enhance fraud prevention strategies. Your responsibilities will include building Python-based analyses, running statistical experiments, and collaborating with cross-functional teams to translate data insights into actionable strategies. You will also leverage AI tools to automate processes and improve efficiency in fraud detection and risk scoring.
- 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; proficient 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; capable of designing valid experiments and performing significance testing
- Hands-on experience building, training, and validating classification models
- Genuine enthusiasm for AI tools; experience using 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 for home office setup
- Unlimited PTO
- Up to 16 weeks of fully-paid family leave
Worth weighing
- Salary range provided, but actual compensation depends on various factors
- Role involves significant independence and problem definition, which may require strong self-direction
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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