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10 дней назад

Staff Fraud & Risk Analyst – Loss Forecasting (Fintech)

176 500 - 238 500$
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 – Loss Forecasting (Fintech) (loss forecasting, fraud analytics, and AI): Building scalable loss forecasting, reserve, and diagnostic capabilities for Intuit’s money-movement and consumer products with an accent on portfolio risk, P&L impact, and cross-functional decision support. Focus on attributing fraud, account takeover, collections, and large-loss movements, investigating forecast variances, and using SQL, Databricks, and AI to produce actionable recommendations.

Location: Mountain View, California, or New York, New York

Salary: $176,500–$238,500 base pay

Company

hirify.global is a global financial technology platform serving tens of millions of customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

  • Own the independent Risk view of losses and reserves for an assigned Services or Consumer Group portfolio.
  • Build scalable forecasting, reserve, and diagnostic capabilities using cohorted and uncohorted views.
  • Analyze negative balances, collections, fraud, account takeover, and other material loss movements, quantifying their P&L and basis-point impact.
  • Partner with Finance and Accounting during monthly close to establish a timely view of losses.
  • Advise Risk Policy and Operations on initiative impacts, controls, process changes, and acceptable risk-return trade-offs.
  • Use SQL, Databricks, and AI tools to investigate forecast misses, diagnose emerging risks, and deliver recommendations.

Requirements

  • 7+ years of experience in risk analytics, credit or loss forecasting, financial analysis, or a related quantitative role in financial services or fintech.
  • Expertise in loss forecasting, reserves, P&L dynamics, and attribution of basis-point movements across volume, rate, mix, fraud, and collections.
  • Advanced SQL, experience with Databricks, Hive, Snowflake, or an equivalent cloud data platform, and strong Excel proficiency.
  • Ability to partner with Finance, Accounting, Risk Policy, and Risk Operations and defend recommendations under challenge.
  • Clear written communication and the ability to provide concise, decision-ready updates.

Nice to have

  • Experience with money movement, lending, disputes, delinquent balances, or collections analytics.
  • Experience creating a forecast or reserve process from the ground up.
  • Experience with Tableau, Looker, or equivalent BI tools; Python experience is a plus.
  • Experience using AI tools to accelerate analysis while retaining ownership of judgment.

Culture & Benefits

  • Cross-functional work across Risk, Finance, Accounting, Risk Policy, and Risk Operations.
  • Competitive compensation with performance-based rewards.
  • Potential eligibility for a cash bonus, equity rewards, and benefits under applicable plans.

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