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3 часа назад

Fraud Analytics Lead (Fintech)

Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Indonesia
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
Fraud Analytics Lead (Fintech): Leading fraud analytics across onboarding, transaction monitoring, account activity, merchant activity, and digital financial products with an accent on fraud detection, risk controls, and portfolio analysis. Focus on developing scalable rules and thresholds, building early-warning dashboards, translating investigation findings into preventive controls, and mentoring analytics specialists.

Location: Jakarta, Indonesia

Company

hirify.global operates in the digital lending and financial technology space.

What you will do

  • Lead fraud analytics strategies across onboarding, transaction monitoring, account activity, merchant activity, and customer journeys.
  • Analyze fraud trends, suspicious patterns, transaction behavior, and portfolio signals to recommend preventive actions.
  • Develop, review, and optimize fraud rules, thresholds, segmentation logic, monitoring parameters, and risk controls.
  • Build and maintain fraud dashboards, early-warning indicators, risk metrics, and management reporting.
  • Work with Fraud Operations, Risk, Product, Data Science, Engineering, Information Security, and Business teams to implement detection and prevention improvements.
  • Provide fraud-risk analysis for product launches, new channels, process changes, and business initiatives while mentoring fraud analysts.

Requirements

  • At least 8 years of experience in fraud analytics, risk analytics, or data analytics within fintech, digital lending, digital banking, or e-commerce.
  • At least 2 years of experience leading an analytics team.
  • Advanced SQL and data analytics knowledge.
  • Strong understanding of identity fraud, account takeover, transaction fraud, merchant fraud, collusion, abuse patterns, and social engineering-related fraud.
  • Conversational English is required.
  • Strong analytical skills, structured problem solving, ownership, attention to detail, and the ability to work in a fast-paced environment.

Nice to have

  • Experience with anti-fraud practices in digital banking or financial technology companies.

Culture & Benefits

  • Cross-functional collaboration with Fraud Operations, Risk, Product, Data Science, Engineering, Information Security, and Business teams.
  • Leadership responsibility for mentoring fraud analysts and maintaining analytical quality.
  • Opportunity to support business growth while improving fraud risk management and end-user experience.

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