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2 дня назад

Staff Fraud & Risk Analyst (Fintech)

168 500 - 228 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Staff Fraud & Risk Analyst (Fintech): Building risk intelligence analytics, dashboards, experiments, forecasts, and reliable data pipelines for QuickBooks with an accent on fraud detection, transactional data analysis, and decision intelligence. Focus on designing A/B tests, investigating anomalies and performance gaps, and converting insights into accountable, recorded business decisions.

Location: New York, New York, United States

Base pay: $168,500–$228,000 annually, with potential cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform offering products including QuickBooks, TurboTax, Credit Karma, and Mailchimp.

What you will do

  • Communicate analytical insights through concise storytelling and executive-ready deliverables.
  • Design dashboards and visualizations that support strategic and operational risk decisions.
  • Lead experiments, including A/B tests, and interpret results to optimize business and product performance.
  • Analyze large-scale transactional and behavioral data to identify trends, anomalies, and opportunities across fraud, credit, and policy domains.
  • Forecast performance, identify variances, investigate root causes, and recommend corrective actions.
  • Build reliable data pipelines and convert insights and anomalies into recorded decisions with clear ownership.

Requirements

  • 6+ years of experience in analytics, data science, or decision strategy roles.
  • Deep proficiency in SQL and working knowledge of Python.
  • Experience with data visualization tools such as QuickSight, Tableau, or Qlik.
  • Strong understanding of A/B testing, experimentation, KPI and OKR development, and data-driven decision-making.
  • Ability to lead cross-functional initiatives, influence stakeholders, and communicate complex analysis clearly.
  • Bachelor’s degree in economics, science, mathematics, or another quantitative field, or equivalent experience.

Nice to have

  • Experience in financial services or fintech.

Culture & Benefits

  • Cross-functional work with Fraud & Risk Policy, Data Science, Compliance, Marketing, Product, and Finance.
  • Competitive compensation with pay-for-performance rewards.
  • Potential eligibility for cash bonuses, equity rewards, and benefits under applicable plans.
  • Focus on building a scalable analytics culture and decision-intelligence practices.

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