We are currently seeking 2 Risk Data Analyst and 1 AML Data Analyst to join our team:
Risk Data Analyst Key Responsibilities:
- Analyze various types of data (user, transaction, etc.) to identify and excavate risk characteristics.
- Support the development of a user risk profile, including designing strategies for risk quantification in areas such as batch registration, promotion abuse, fraud, and arbitrage.
- Create data-driven strategies to support business risk decision-making, ensuring healthy, compliant, and sustainable growth of international business.
- Collaborate with cross-functional teams (algorithms, policies, product, technology, and operations) to develop and improve an AI-based merchant quantitative risk management platform.
- Create merchant security solutions and service products to address risks.
- Assist the risk management team with departmental initiatives and other assigned duties.
- Design and optimize security strategies for various risks, including card theft, account theft, and fraud.
- Maintain and improve user payment experience and risk controls to optimize risk-experience balance.
- Collaborate with teams (data, product, and technology) to enhance the capabilities of the global risk engine.
- Provide payment card theft risk control solutions to Ant's global strategic partners, covering regions such as the United States, Europe, Hong Kong, Singapore, India, Malaysia, Indonesia, etc.
AML Data Analyst Key Responsibilities:
- Provide quantitative analytics support to the AML QDAI & strategy team to enhance risk assessment of ongoing current and emerging AML centric risks in core areas; business, client, operations & system controls within the international business entities.
- Provide data extraction & quantitative validation for targeted AML risks or ongoing AML issues identified.
- Responsible for the development, testing and operation of risk models such as customer risk rating model and transaction monitoring models to achieve efficient monitoring of suspicious activities.
- Cooperate with the business team to respond to regular or irregular internal and external regulatory inspections and provide periodic quantitative entities risk assessment report.
- Provide collaboration support with the AML data team on entity level business intelligence related request from regional AML teams.
Qualifications:
- 2-5 years of relevant experience in data analysis/AML/Risk Control/Fraud Management within industries such as banking, payment institutions, credit card companies, or internet firms.
- Fresh graduate are welcomed to apply.
- Bachelor's degree or higher in mathematics, statistics, finance, management science, computer science, or related fields.
- Proficiency in SQL data processing is required. Proficiency in SAS, Python, or R is a plus.
- Strong analytical and problem-solving abilities.
- Able to apply data methods effectively.
- Fluent in both written and spoken English; proficiency in Chinese is a plus.
- Collaborative and inquisitive mindset.
- Ability to work independently, plan, and meet deadlines.
- Highly flexible, detail-oriented, and capable of multitasking in a fast-paced environment.
