Senior Data Analyst, Risk Analytics

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $108k - $157k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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SeatGeek

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

🛍️ eCommerce

⚽ Sports

💰 $238M Series E on 2022-08

eCommerce • Entertainment • Sports

SeatGeek is a mobile-focused ticket platform that allows users to buy and sell tickets for live events such as sports, concerts, and theater performances. With an easy-to-use interface, SeatGeek integrates event listings, ticket purchasing, and resale in one place. The platform enhances the user's experience by offering personalized recommendations and insights into event trends. Furthermore, SeatGeek provides a comprehensive array of listings for major sports, music, and entertainment events, positioning itself as a go-to source for fans seeking tickets. The company's operations and offerings emphasize a seamless experience in accessing and enjoying live entertainment.

📋 Description

• Build and maintain Python-based analyses, models, and data pipelines supporting fraud decisioning, vendor evaluation, and internal risk scoring • Design and run statistical experiments, including A/B tests, holdout experiments, and vendor performance assessments • Develop and iterate on internal fraud risk models using transaction and vendor data • Own model calibration, validation, and ongoing performance monitoring • Use AI tools including LLMs, code generation, and agentic workflows to improve analytical processes • Define how AI is embedded into analytical workflows and identify manual work to automate • Analyze vendor performance, assess score calibration, measure lift across segments, and inform routing decisions and contract discussions • Build and maintain dashboards and reports in Looker and Hex • Develop SQL models and data views • Monitor fraud and operations metrics, investigate anomalies, and escalate findings with recommended actions • Collaborate with Risk Ops, the manager, Engineering, Payments, and CX to translate analysis into action

🎯 Requirements

• 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; ability to own complex data pulls, understand warehouse structures, and build views and models • Solid statistical grounding, including statistically valid experiments, significance testing, model calibration, and communicating findings to non-technical audiences • Hands-on experience independently building, training, and validating classification models • Familiarity with model evaluation methods and handling class imbalance • Ability to translate model outputs into business decisions • Genuine enthusiasm and day-to-day experience using LLMs and code generation • Ability to design AI-assisted workflows and identify opportunities to replace manual effort with AI • Comfort operating in ambiguity and defining problems • Familiarity with fraud vendors such as Forter, Riskified, or Sardine is a plus • Experience with Looker or similar BI tools is a plus

🏖️ Benefits

• 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