1. Thoroughly analyze various types of data about the merchant, transaction, user, etc., excavate risk characteristics, build a merchant risk profile, design a comprehensive merchant risk quantification strategy for account take over, fraud, gambling, promotion abuse, arbitrage, etc.
2. Collaborate deeply with teams such as algorithms, policies, products, technology, and operations to build and improve an AI based merchant quantitative risk management platform, and create merchant security solutions and service products.
3. Conduct customer risk analysis, enhance understanding of customer portfolio, monitor changes in customer behaviors and risk pattern.
4. Balance user payment experience and risk control to ensure risk-experience optimization.
5. Conduct risk strategy updates with regular & ad-hoc business support and risk management efficiency analysis in report, spreadsheet and presentation format.
6. Work closely with Business, Compliance, AML, Risk product team etc. to drive the smoothen implementation of all data-driven decision initiatives.

Requirements:

1. Bachelor degree or above in Mathematics, Computer Science, statistics or other data related subjects.
2. Min 3 years’ relevant experience in banking, payment institutions, or financial sectors.
3. Familiar with AML and fraud risk controls, regulatory requirements and the market practices.
4. Good in data analytical and SQL data processing, proficient in using at least one professional analysis tool, such as SAS, Python, R, etc.
5. Outstanding problem analysis and problem-solving abilities, self-motivation, and strong learning ability, innovative application ability, and communication and coordination ability.
6. Proficiency in spoken and written Chinese and English. Fluent in Mandarin will be a plus.