苹果Regulatory Compliance AI/ML Engineer

• Perform AI/ML study in terms of wireless testing data and reports for lab/living field in various countries; • Generate Large Language Module and report by AI/ML technology;

bettr is the digital lending business under Ant International, focused on providing inclusive financial services to micro, small and medium enterprises (MSMEs) in strategic markets through partners via embedded finance. By leveraging its innovation-led tech like AI and privacy-preserving computing to enable secure financing solutions, bettr enhances the accessibility and ease of financing, unlocking growth opportunities for MSMEs. Key Responsibilities: - Set up credit risk management framework (process and policy), build and maintain onboarding, assessment, ongoing monitoring and reporting of exposures for the entity. This also includes the usage of AI/ML and the incorporating of alternative data into such models. - Meet Thailand regulatory requirement proactively with risk-related procedures, processes and policies. - Collaborate across functions, including business, product, tech, legal and compliance, enable embedded financing, implement data-driven credit assessment in the various lending platforms / ecosystems that the entity will engage itself in. - Conduct both regular and ad-hoc portfolio analysis on post lending accounts to identify the associated credit risks, update policy, and improving decision engine timely. - Manage the model risks for all scorecards and models including validation and monitoring under Group Model Risk Framework. - Solicit and analyse market related information on the practice or trend of RETAIL and SME risk management, and make recommendations to Senior Management for procedural reviews. - Lead local credit risk team, and enable approver and collection experts to improve daily efficiency with data-driven insight.

About Ant International With headquarters in Singapore and main operations across Asia, Europe, the Middle East and Latin America, Ant International is a leading global digital payment, digitisation and financial technology provider. Through collaboration across the private and public sectors, our unified techfin platform supports financial institutions and merchants of all sizes to achieve inclusive growth through a comprehensive range of cutting-edge digital payment and financial services solutions. To learn more, please visit https://www.antglobal.com/ Job Description: 1. Responsible for building up transaction monitoring surveillance system and customer risk rating models, implement in-time assessment on AML models to guarantee performance. 2. Responsible for the innovative research and design on AML monitoring framework, utilize quantitative analytics and data techniques in a scientific way to improve the effectiveness of AML system. 3. Responsible for developing engine of automatic AML detection threshold tuning so as to guarantee quick reaction to continuous risk changes. 4. Provide quantitative analytics support to the compliance officers in regulatory visits and enquiries. 5. Work together with Product & Technology team to improve model effectiveness and extend AML defense line through applying AI and ML, meanwhile achieving commercialization. 6. Responsible for the development, testing and operation and maintenance of the risk model; based on the big data of the whole ant, mine the 360-degree characteristics of customers, and make innovations in customer identification, such as mining fund sources based on complex networks and mining user behaviour based on time series Preferences, etc., and apply the results to abnormal transaction identification and customer risk classification; 7. Responsible for the governance of anti-money laundering-related risks, formulate identification/disposal strategies; study the financial behaviors’ of hundreds of millions of Ant Financial users every day, and dig out abnormal financial behaviors, such as credit card cash, illegal fund-raising, drugs, gambling, fraud, etc. 8. Through the experience of risk management, gain insight into data problems, and design a complete suspicious transaction control plan.

PurposeTo bridge business needs and AI capabilities by identifying, designing, and implementing AI-driven solutions that enhance operational efficiency, decision-making, and business innovation. This role acts as a key interface between business functions and IT, ensuring AI initiatives align with organizational goals. Strategic Value • Drive the execution of the company’s AI strategy in China, enabling smarter operations, automation, and data-driven decisions. • Support business growth, cost efficiency, and risk management through AI-enabled solutions with measurable business impact. • Foster an AI innovation culture and establish the foundation for broader organizational transformation. Key Responsibilities 1. Business Analysis – Engage with business stakeholders to understand workflows, challenges, and identify areas where AI can bring measurable improvements. 2. AI Solution Design & Implementation – Work with IT, data teams, and vendors to design and deliver feasible AI solutions aligned with business priorities. 3. Project Management – Manage AI projects end-to-end, ensuring timely and quality delivery with measurable business outcomes. 4. AI Enablement & Adoption – Drive AI adoption initiatives and promote organization-wide awareness and skill development in AI tools and automation. 5. Data & Compliance Alignment – Collaborate with Data Governance, Legal, and Compliance teams to ensure AI initiatives adhere to data protection and local regulations. 6. Performance Evaluation & Continuous Improvement – Measure business impact of AI initiatives and continuously refine solutions based on data-driven insights. Key Success Factors • Strong business acumen to identify valuable AI use cases and drive practical implementation. • Influential communicator who can translate complex AI concepts into actionable business terms. • Continuous learner with curiosity about AI trends, enterprise AI, and data management practices. • Innovative and agile mindset, capable of executing in a fast-evolving and uncertain environment. Key Internal Interfaces • Business Functions (Sales, CS, Manufacturing, HR, etc.) – Co-define AI project goals and business value. • IT & Data Teams – Collaborate on solution design, deployment, and maintenance. • Legal & Compliance – Ensure data protection and regulatory compliance. • Global AI/Digitalization Teams – Align with global strategies and share best practices. Qualifications • Bachelor’s degree or above in Computer Science, Information Management, Data Science, or related fields. • 5+ years of experience in IT, business analysis, or data-driven projects; prior experience in AI or automation initiatives preferred. • Strong understanding of Generative AI, machine learning, and data analytics concepts, with the ability to translate them into business value. • Excellent communication and stakeholder management skills across departments and cultures. • Proficiency in English (both written and spoken) for effective communication and reporting. 岗位目标 通过深入理解业务需求，识别可通过AI技术优化的场景，设计并推动AI解决方案在组织中的落地，提升业务效率、决策质量与创新能力。该岗位将作为业务部门与IT团队之间的桥梁，确保AI战略与业务发展目标保持一致。 岗位价值 • 推动公司在中国区的AI战略落地，帮助业务部门实现智能化、自动化和数据驱动决策。 • 通过AI解决方案支持业务增长、成本优化与风险控制，为公司创造可量化的业务价值。 • 构建跨部门协作的AI创新文化，为未来更广泛的AI转型奠定基础。 主要职责 1. 业务需求分析 – 深入了解各业务部门的流程、痛点与改进空间，识别AI可创造价值的机会。 2. AI解决方案设计与实施 – 与IT、数据团队及外部合作伙伴协作，定义AI解决方案的架构与实施路径。 3. 项目管理与落地 – 负责AI项目从需求定义到交付的全过程管理，确保项目按时、按质完成。 4. AI赋能与推广 – 推动AI工具（如Copilot、自动化、智能分析等）的应用，提升员工AI使用意识和技能。 5. 数据与合规协同 – 与数据治理、法务及合规团队合作，确保AI解决方案符合数据安全和本地监管要求。 6. 绩效评估与持续改进 – 通过数据分析评估AI项目的业务影响，持续优化方案。 关键成功要素 • 能从业务视角发现AI应用场景，并以结果为导向推动落地。 • 在跨部门沟通中具备影响力，能将复杂的AI概念转化为可执行的业务语言。 • 对AI趋势、企业级AI应用、以及数据管理具备持续学习和探索精神。 • 具备创新思维和敏捷执行力，能够在不确定的环境下推动项目向前。