Senior Risk Data Analyst (Fintech)

TL;DR

Senior Risk Data Analyst (Fintech): Defending hirify.global from payment fraud across the platform, including purchase fraud, developer earnings fraud, and virtual economy-related risk and abuse with an accent on safeguarding revenue, protecting the community, and ensuring financial integrity. Focus on proactively analyzing trends and patterns to detect and prevent complex financial fraudulent activity in a high-growth environment.

Location: Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Based at our headquarters in San Mateo, CA.

Salary: $134,540—$167,910 USD

Company

hirify.global is building the tools and platform that empower our community to bring any experience that they can imagine to life.

What you will do

• Monitor transaction activity and implement detection strategies to prevent fraud.
• Collaborate with cross-functional teams to develop and improve fraud prevention measures.
• Implement, monitor, and tune detection strategies and rules in production to prevent and mitigate payment fraud.
• Conduct deep-dive investigations into emerging risk vectors, documenting findings and preparing regular, actionable reports on financial risk trends.
• Analyze data to identify and investigate potential fraud and abuse patterns.
• Define technical and data requirements to enhance risk-monitoring infrastructure and alerting.

Requirements

• 5+ years of professional experience in an analytical role, with a focus on fraud prevention and risk analysis in a high-volume transactional environment (e.g. e-commerce, fintech, or gaming).
• Proficiency with data analysis tools and techniques, including advanced SQL and Python for data exploration, data visualization, and statistical analysis.
• Direct experience analyzing and addressing different types of payment risk, such as card/fiat fraud, account takeover (ATO), chargeback analysis, and/or developer payout/earning fraud.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and identify trends.
• Familiarity with risk prevention concepts, such as those in anti-fraud, anti-abuse, or trust and safety.
• Degree in a quantitative field such as Data Science, Finance, Economics, Statistics, or a related field.

Culture & Benefits

• Full-time employees are also eligible for equity compensation and benefits.
• hirify.global provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type.
• hirify.global also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.