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2 дня назад

Staff Fraud Risk Analyst - Fintech

176Β 500 - 238Β 500$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Staff Fraud Risk Analyst - Fintech (Fraud Risk Management): Developing and optimizing fraud risk strategies for Intuit’s Business Credit Card with an accent on identity fraud, transaction monitoring, risk modeling, and customer experience. Focus on building adaptive fraud defenses, analyzing false positives and emerging fraud patterns, and deploying AI-enabled risk mitigation strategies.

Location: Mountain View, California, United States

Salary: $176,500–$238,500 annually, plus potential bonus, equity, and benefits.

Company

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

What you will do

  • Develop, implement, and refine fraud risk strategies across credit card underwriting, transaction monitoring, and exposure management.
  • Use data-driven and machine learning-enabled approaches to identify emerging fraud trends and strengthen fraud defenses.
  • Evaluate defenses through hit-rate, false-positive, A/B testing, and cost-benefit analyses.
  • Partner with Data Science to define modeling needs, improve fraud models, and develop monitoring metrics, early-warning indicators, trend analyses, and dashboards.
  • Collaborate with Product, Engineering, Compliance, Marketing, Operations, and Credit Risk to balance fraud prevention, profitability, and customer experience.
  • Evaluate and manage external fraud tools, vendors, partnerships, AI, and automation initiatives.

Requirements

  • Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering, or another quantitative discipline.
  • At least 6 years of experience in fraud risk analytics and risk management.
  • Experience with regression modeling, multivariate analysis, machine learning, risk scoring, and fraud prevention.
  • Expertise with industry-standard fraud tools, platforms, and risk models.
  • Strong analytical, problem-solving, verbal, and written communication skills.
  • Proficiency with SQL, SAS, Python, R, and Tableau.

Culture & Benefits

  • Work on a fast-growing Business Credit Card product within QuickBooks Capital.
  • Cross-functional collaboration across lending, product, data science, engineering, compliance, marketing, and operations.
  • Competitive compensation with performance-based rewards.
  • Potential cash bonus, equity rewards, and employee benefits.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’