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Senior Data Analyst, Risk Analytics

TalentHop
Department:Data Analysis
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior Level
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Job Description

Posted on: August 31, 2026

1. About Our Client:

The organization operates in the live events and ticketing industry, focusing on simplifying and modernizing the ticketing experience. It addresses challenges related to fraud prevention and customer experience in this sector through data-driven strategies and technological innovation.


2. About the Opportunity:

The Senior Data Analyst, Risk Analytics is a key contributor to the fraud prevention strategy, responsible for developing analytical models, running experiments, and creating tools that enhance decision-making processes. This role drives the integration of AI into fraud analytics workflows, improving efficiency and enabling proactive responses to evolving fraud tactics.


3. Responsibilities:

• Build and maintain Python-based analyses, models, and data pipelines to support fraud decisioning and internal risk scoring

• Design and execute statistical experiments including A/B tests and vendor performance assessments

• Develop and monitor fraud risk models, handling calibration and validation

• Utilize AI tools such as large language models and code generation to automate analyses and improve workflows

• Analyze vendor performance to inform routing and contract decisions

• Create and maintain dashboards and reports using Looker and Hex; develop SQL models and data views

• Monitor metrics, investigate anomalies, and recommend actions

• Collaborate with cross-functional teams to translate analytical insights into operational improvements


4. Requirements:

• Minimum 3 years experience in fraud analytics, risk, fintech, or similar analytical roles

• Proficient in Python, familiar with pandas, scikit-learn, statsmodels, or similar libraries

• Strong SQL skills with ability to manage complex data operations

• Solid understanding of statistics including experiment design and model evaluation

• Experience building and validating classification models

• Active use and understanding of AI tools and their application in analytics

• Ability to operate independently and define problems in ambiguous contexts

• Familiarity with fraud vendor platforms and BI tools is advantageous


5. Pay Range and Compensation Package:

• The salary range for this role is $108,000 - $157,000 USD

• The role is equity eligible

• Discretionary annual bonus based on individual and company performance


6. Benefits & Perks:

• Equity stake

• Discretionary annual bonus

• Flexible work environment including remote options

• Work-from-home stipend

• Unlimited paid time off

• Up to 16 weeks of fully-paid family leave

• 401(k) matching

• Student loan matching program

• Health, vision, dental, and life insurance

• Up to $25,000 toward family building, reproductive health, and gender-affirming care

• Wellness expense allowance

• Subscriptions to meditation, therapy, and medical services

• Quarterly allowance for live event tickets

• Annual music subscription


Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.


Note:

TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

Originally posted on LinkedIn

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