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7 часов назад

Senior Data Analyst, Risk (Fintech)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/China/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst, Risk (Fintech): Analyzing payment, chargeback, fraud, and user lifecycle data to identify drivers of financial loss and turn findings into risk and product changes with an accent on loss attribution, experimentation, and monitoring. Focus on designing and backtesting fraud strategies, measuring risk-rule changes, and building alerts that help Risk, Payments, and Product teams respond to emerging threats.

Location: Remote from Shanghai, Canada, Toronto, or the U.S.

Company

hirify.global is a licensed and regulated U.S. cryptocurrency exchange for buying, trading, holding, and earning digital assets.

What you will do

  • Analyze the full user lifecycle from ACH and card payments through trading and withdrawals to identify anomalies, loss drivers, and mitigation opportunities.
  • Investigate fraud cases and user profiles, quantify exposure, and design and backtest strategies or models for managing risk.
  • Design and evaluate A/B experiments for risk-rule and process changes, measuring loss, approval rates, and customer friction.
  • Break down net loss by fraud type, payment method, and user segment, and maintain monitoring for key Risk & Compliance payment metrics.
  • Build dashboards and alerting for emerging fraud and loss trends.
  • Partner with Risk, Payments, and Product teams to turn analysis into shipped changes and measurable improvements.

Requirements

  • 4+ years of experience in risk analytics.
  • Strong SQL and Python or R skills for quantitative analysis and statistical modeling.
  • Hands-on experience with payment and chargeback data, including reason codes and net-loss attribution.
  • Solid knowledge of A/B testing, experiment design, and statistical foundations.
  • Strong data visualization and dashboarding skills, with the ability to communicate actionable insights to non-technical stakeholders.
  • Ability to manage multiple initiatives while maintaining analytical rigor and execution quality.

Nice to have

  • Experience applying ML techniques to fraud and loss data.
  • Experience in a high-growth technology environment, particularly fintech or crypto.

Culture & Benefits

  • Fully remote, cameras-on work environment with work-from-home equipment reimbursements for new hires.
  • Unlimited PTO for salaried full-time roles and 12 weeks of fully paid parental bonding leave.
  • Mental wellness benefits, including free virtual visits with licensed professionals.
  • Comprehensive health benefits, an annual professional development budget, and career coaching.
  • 401(k) plan with employer match.

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