Назад
Company hidden
6 дней назад

Senior Fraud and Risk Analyst (Fintech)

150 500 - 204 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Fraud and Risk Analyst (Fintech): Developing end-to-end fraud risk policies and detection strategies for payments, banking, bill pay, and other money movement products with an accent on AI-driven fraud prevention, financial analytics, and cross-functional alignment. Focus on designing experiments, analyzing complex business data, and shaping risk policies that protect customers while supporting SMB growth.

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

Salary: $150,500–$204,000 base pay

Company

Financial technology platform providing products and services including tax, credit, accounting, email marketing, and money movement solutions.

What you will do

  • Develop fraud risk policies for payments, banking, bill pay, and other fintech products.
  • Lead fraud detection and prevention initiatives for new money movement products and features.
  • Own fraud risk strategy for business initiatives and drive alignment with senior stakeholders.
  • Partner with Data Science, Product, Engineering, Risk Operations, and Compliance teams.
  • Use AI, financial analytics, and data-driven insights to improve fraud prevention and customer trust.

Requirements

  • 4+ years of relevant experience in fraud risk, financial analytics, or a related area.
  • Bachelor’s degree in Statistics, Mathematics, Finance, Data Science, Computer Science, or another quantitative field; an MS or PhD is preferred.
  • Knowledge of risk policy fundamentals for consumer loans and lines of credit, including fraud detection and identity checks.
  • Experience designing experiments and using data-driven analysis to solve business problems.
  • Proficiency with SQL, Excel, Python, R, and data visualization tools.
  • Strong communication and stakeholder-management skills across business and technical functions.

Nice to have

  • Fintech and fraud risk experience in consumer lending.
  • Familiarity with Hive, Hadoop, and related big data technologies.
  • MS or PhD in a quantitative field.

Culture & Benefits

  • Collaborative environment with extensive cross-functional partnership.
  • Opportunity to contribute to fraud prevention and money movement products.
  • Competitive compensation with performance-based rewards.
  • Potential eligibility for cash bonus, equity rewards, and employee benefits.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →