jobs in Monee

全职 Fraud Risk Analyst, Strategy - Analytics - KYC 工作, 薪水, Monee 公司招聘中 - Ricebowl

Fraud Risk Analyst, Strategy - Analytics - KYC

Undisclosed

Singapore

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工作地点

  • Singapore

职位描述

岗位职责

About The Team

As AI technology advances, the cost of identity fraud continues to decrease, creating new challenges for KYC risk management. This role focuses on strengthening and improving our KYC risk controls to better prevent fraud and support the business’s stable and sustainable growth.

Job Description

  • Responsible for building and improving the KYC risk prevention and control framework, developing differentiated risk identification and interception logic. Business scenarios cover all Monee business lines, including payments, credit, wallets, wealth management, and insurance.
  • Conduct end-to-end KYC risk assessments for new businesses and processes, and design tailored KYC strategies aligned with the company’s risk appetite.
  • Develop strategies based on research into black-market attack methods. Dynamically adjust strategies/rules/thresholds across various business scenarios to ensure accurate identification and interception of high-risk behaviors.
  • Build a monitoring system to regularly assess the effectiveness of our risk controls, and continuously improve them using data and case reviews to manage risk while minimising impact on genuine users.
  • Lead emergency response and post-mortem analysis for major risk incidents, identify root causes, and optimize the defense system to prevent recurrence of similar risks.
  • Collaborate closely with business, product, technical, and algorithm teams to drive the systematic implementation and functional realization of risk strategies.

Requirements

  • Bachelor’s degree or higher in Computer Science, Engineering, Business Analytics, Information Technology, Finance, Statistics, or a related field.
  • Minimum 1 year relevant experience in risk management, fraud prevention, payments, financial services, or e-commerce.
  • Strong analytical skills and experience in data management.
  • Proficiency in SQL is required; experience with programming language and understanding machine learning algorithms is an advantage

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