2 дня назад
Staff Fraud & Risk Analyst (Fintech)
168 500 - 228 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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