Senior Data Analyst, Risk Analytics

the team's analytical needs</li> <li>Monitor fraud and operations metrics, investigate anomalies, and escalate findings with a clear point of view on recommended actions</li> <li>Collaborate with Risk Ops agents, the manager, and cross-functional partners in Engineering, Payments, and CX to translate analysis into action</li> </ul> <h3><strong>What you have</strong></h3> <ul> <li>3+ years of experience in fraud analytics, risk, fintech, or a quantitatively demanding analytical role</li> <li>Strong Python skills; you build end-to-end analyses and pipelines independently, and are proficient with pandas, scikit-learn, statsmodels, or equivalent libraries</li> <li>Strong SQL; you can own complex data pulls, understand warehouse structures, and build views and models that others rely on</li> <li>Solid statistical grounding: you can design statistically valid experiments, perform significance testing, assess model calibration, and communicate findings clearly to a non-technical audience</li> <li>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</li> <li>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</li> <li>Comfort operating in ambiguity; you are expected to define the problem as much as solve it</li> <li>Familiarity with fraud vendors such as Forter, Riskified, or Sardine is a plus; experience with Looker or similar BI tools is a plus</li> </ul> <h3><strong>

Perks</strong></h3> <ul> <li>Equity stake</li> <li>Discretionary annual

bonus</li> <li>Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely</li> <li>A WFH stipend to support your home office setup</li> <li>Unlimited PTO</li> <li>Up to 16 weeks of fully-paid family leave </li> <li>401(k) matching </li> <li>Student loan matching program</li> <li>Health, vision, dental, and life insurance</li> <li>Up to $25k towards family building, reproductive health services and Gender-affirming care</li> <li>$500 per year for wellness expenses</li> <li>Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical</li> <li>$360 per quarter to spend on tickets to live events</li> <li>Annual subscription to Spotify, Apple Music, or Amazon music</li> </ul> <p> </p> <hr> <p><em>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.</em></p> <p><em>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!</em></p> <p>To review our candidate privacy notice, <a class="c-link c-link--focus-visible" href="https://seatgeek.com/privacy/USApplicantNotice" target="_blank" data-stringify-link="https://seatgeek.com/privacy/USApplicantNotice" data-sk="tooltip_parent">click here.</a></p>

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