苹果Regulatory Compliance AI/ML Engineer
任职要求
Minimum Qualifications • Pursuing a MS or PhD in Electronic Engineering, Computer Science etc. • Solid knowledge and hands-on experience in Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). • Proficiency in web development, with skills in Python, JavaScript, Java, etc. • Basic knowledge on wireless spectrum allocation, understanding SAR/OTA testing results for Wifi/BT/Cellular/Short Range Device; • Excellent communication skills, both verbally and written (In both Chinese and English). Preferred Qualifications • Proven planning and interpersonal skills. • Abilities to work in multi-functional teams across multiple time zones. • Highly self-motivated and capable of working independently. • Proficient speaking English skill
工作职责
• Execute AI/ML projects, including developing domain-specific chatbots for wireless testing reports (from internal teams and third-party labs), as well as regulatory and standards documents from global authorities. • Research and apply innovative LLM techniques, such as workflow optimization, model architecture design, and prompt engineering, to improve efficiency and accuracy. • Perform data mining, analysis, and predictive modeling using advanced ML approaches to generate actionable insights. • Design, develop, and maintain web applications (front-end and back-end) to support AI/ML tools and data visualization. • Deploy, optimize, and maintain softwares and models in production environments, ensuring scalability, reliability, and performance.
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.
We are currently looking for an experienced Liquidity Manager to join our team in Shanghai. You will be primarily responsible for: Liquidity management and Cash investment: Continuously improve and optimize liquidity management framework and intelligent cash investment. Liquidity platform construction: Responsible for international liquidity platform planning and construction Develop innovative strategies: Apply new technologies such as AI to fund management, continuously improve liquidity and fund management capabilities Responsibilities 1. Daily operations related to liquidity management and cash investment 2. Responsible for formulating liquidity operation and investment strategies 3. Continuously improve liquidity capabilities to enhance fund utilization efficiency and support business development 4. Responsible for enhancing liquidity risk management framework and enriching stress testing scenarios to ensure regulatory compliance, secure business operations, and revenue growth 5. Stay updated with the latest changes in regulatory policies for fund and liquidity management across different countries and take appropriate measures 6. Understand the latest applications and industry developments of AI in fund management, and develop innovative liquidity management strategies 7. Collaborate with major banks and financial institutions to build optimal cash and liquidity management framework
• Ensure products continuously comply with Amazon’s quality, performance, reliability, as well as relevant safety and worldwide regulatory requirements • Implement and apply Amazon.com quality systems throughout the product life cycle • Work with stakeholders to define HPB product requirement document/specification in the planning stage of product development • Work with suppliers, 3rd party test labs, and internal teams for quality and compliance testing. • Proactively drive corrective action plans to lower down DPPM and raise the quality bar • Monitor and rigorously adhere to all quality activities SLAs and ensure SLA adherence by vendors and 3rd party labs. • Own DPPM (Defective Part Per Million) & CRR (Customer Review Rating) for responsible product categories, and proactively work with all stakeholders for resolving any quality complaints or issues • Strive continuously to identify innovative ways to prevent quality issues leading to improved customer reviews and ratings • Continuously analyze existing quality processes and systems and work with cross-functional teams for process improvements • Drive scalable business solutions on product development and quality monitoring processes • Maintain close collaboration with all internal and stakeholders, including those based in US and other worldwide Amazon offices, and provide visibility through appropriate reports • Explore and implement Generative AI tools to improve quality operations and drive innovation.