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3 часа назад

Payments Risk Analyst II (Fintech)

85 320 - 94 800GBP
Формат работы
remote (только United_kingdom)/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Payments Risk Analyst II (Fintech): Identifying and mitigating fraudulent deposit activity on critical payment rails with an accent on quantitative analysis and risk control scaling. Focus on implementing logic to target bad actors, developing core fraud metrics, and collaborating with product and engineering teams to drive risk management strategies.

Location: Remote - Must be based in the UK. In-person attendance is required for company-wide offsites throughout the year.

Salary: £85,320 — £94,800 GBP

Company

hirify.global is a global platform building the emerging onchain platform and the future global financial system to increase economic freedom.

What you will do

  • Identify, investigate, and mitigate fraudulent deposit activity and implement logic targeting bad actors.
  • Use quantitative analysis to assess risk, measure tradeoffs, and communicate findings to leadership.
  • Monitor anomalous transaction behavior and develop dashboards to track fraud performance.
  • Own risk controls end-to-end and scale processes to provide coverage for business expansion.
  • Collaborate with Product, Growth, Data Science, and Engineering to develop custom risk management strategies.

Requirements

  • 4+ years of relevant experience.
  • 2+ years fighting push payment fraud in an e-commerce or financial services environment.
  • 2+ years of experience in data analysis, working with databases and querying (e.g., SQL, MySQL).
  • Experience with Databricks and data visualization platforms like Looker, Tableau, or SuperSet.
  • BA/BS degree or equivalent practical experience.
  • Ability to responsibly use generative AI tools and copilots in daily workflows.

Nice to have

  • Understanding of statistical concepts and experience with Python or R.
  • Experience working with machine learning models.
  • Knowledge of blockchain analytics and fraud trends within the cryptocurrency ecosystem.

Culture & Benefits

  • Comprehensive health coverage: private medical, dental, and vision insurance.
  • Financial perks: Employee Stock Purchase Plan (ESPP), workplace pension, and wellness stipend.
  • Work-life support: generous time off/leave policy and Employee Assistance Program.
  • Professional development: Learning and Development allowance.
  • Practical support: mobile and internet reimbursement.

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