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Principal Business Analyst, Fraud (Fintech)

118 000 - 135 000$
Формат работы
remote (только USA)
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
Principal Business Analyst, Fraud (Fintech): Building and testing real-time defenses against fraudulent credit card applications with an accent on fraud pattern analysis, risk funnel experimentation, and customer experience trade-offs. Focus on designing A/B and Champion/Challenger tests, translating results into data-backed recommendations, and monitoring defense performance through dashboards.

Location: Remote, United States; ability to travel approximately 4–6 or more times per year for in-person collaboration.

Salary: $118,000–$135,000 annual full-time base salary, plus eligibility for annual incentive and equity programs.

Company

Purpose-driven fintech company providing credit cards with clearer terms and improved customer experiences for people building or rebuilding their credit.

What you will do

  • Analyze application data to identify emerging fraud patterns and vulnerabilities.
  • Design, build, and run A/B and Champion/Challenger tests for real-time fraud defenses.
  • Translate test results into data-backed recommendations balancing risk and customer experience.
  • Build and maintain dashboards tracking defense coverage, applicant friction, abandonment, and losses.
  • Partner with Operations, Product, Data Science, and Engineering to improve fraud detection capabilities.
  • Mentor less experienced analysts and help develop fraud analytics judgment.

Requirements

  • At least 2 years of experience in a highly analytical role, primarily working directly with data.
  • Experience with credit cards or other consumer lending products.
  • Hands-on experience designing and executing A/B or Champion/Challenger tests in an application or risk funnel.
  • Ability to frame ambiguous questions, form hypotheses, analyze data, and defend conclusions with stakeholders.
  • Strong familiarity with SQL, Python, or comparable data analysis tools.
  • Bachelor’s or Master’s degree in Economics, Finance, Engineering, Mathematics, or a related quantitative field.

Nice to have

  • Direct experience in Fraud Strategy and Analytics.
  • Expertise in SQL and Python.
  • Experience scaling a business in a fast-paced startup environment.

Culture & Benefits

  • Remote-first work environment with a focus on respectful, inclusive, and collaborative work.
  • Paid time off, paid parental leave, and a monthly wellness stipend.
  • Health, dental, and vision insurance options, plus disability and life insurance.
  • 401(k) match and flexible spending accounts for childcare and healthcare.
  • Annual incentive and equity program eligibility.

Hiring process

  • Applications are reviewed for accuracy and completeness.
  • Reasonable accommodations are available for medical or religious reasons.

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