Our client is a multinational FinTech company that provides mobile payment platforms digital banking and various other FinTech solutions. We are currently seeking a Risk Analyst with expertise in fraud risk and fluency in both Mandarin Chinese and English.
What you ll do:
- In depth understanding of ewallet 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 indepth analysis of historical data develop design and implement complete datadriven 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;
- Fastlearning highly motivated and able to work independently and under pressure in a dynamic industry;
- Adaptable and able to work well in a fast paced teamoriented environment;
- Fluent in Mandarin and excellent command of both spoken and written English.
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.