Senior Risk Management Analyst

Job Description

• In depth understanding of e-wallet function, local market, and perform analysis of payment products, promotion activities and other account activities; keep up with business development and changes, conduct regular risk assessments, identify potential fraud risk and implement proper controls to prevent dishonest activities;
  
• Leveraging quantitative methods to quickly identify fraud events through in-depth analysis of historical data, develop, design and implement complete data-driven risk management framework, strategy and model to mitigate fraud risk in the real time;
  
• Review and investigate suspected / fraud cases, liaise with law enforcement as needed, and work with functional units to identify gaps, develop and strengthen fraud mitigation strategies;
  
• Identify new fraud and cybercrime threats to the payment systems, continuous refinement of internal control framework, policies and procedures, fraud management engine to mitigate fraud risks in relation to the operation of payment systems;
  
• Create various analytical reports and present to management team;
  
• Assist in team management and continuously improve team professional capability and risk awareness.
  

Requirements

• University degree in computer science, mathematics, statistics, management science or similar disciplines;
  
• Well versed in SQL, SAS, Python, R or similar tools. Practical experience in data mining / machine learning will be favorably considered;
  
• Experience in the financial industry or a consultancy firm in risk management;
  
• Fast-learning, highly motivated and able to work independently and under pressure in a dynamic industry;
  
• Adaptable and able to work well in a fast paced, team-oriented environment;
  
• Fluent in Mandarin and excellent command of both spoken and written English.
  

Requirements
What we’re looking for: University degree in computer science, mathematics, statistics, management science or similar disciplines; Well versed in SQL, SAS, Python, R or similar tools. Practical experience in data mining / machine learning will be favorably considered; Experience in the financial industry or a consultancy firm in risk management; Fast-learning, highly motivated and able to work independently and under pressure in a dynamic industry; Adaptable and able to work well in a fast paced, team-oriented environment; Fluent in Mandarin and excellent command of both spoken and written English.