Asset Management - AI Engineer - Associate/VP

Location: Shanghai, China

Job Family: Software Engineering

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide. We're looking for an AI Engineer at the Associate/VP level to join our Asset Management division in Shanghai, China. In this role, you'll be at the forefront of leveraging artificial intelligence to drive innovation in investment management, helping to optimize portfolios, predict market trends, and enhance client outcomes in a dynamic financial landscape. As part of a collaborative team, you'll work on cutting-edge projects that integrate AI with quantitative finance, contributing to JPMorgan's commitment to technological excellence and client-centric solutions. Your primary focus will be developing robust AI systems tailored to asset management challenges, such as algorithmic trading, sentiment analysis from financial news, and automated risk modeling. You'll collaborate closely with data scientists, traders, and compliance experts to ensure solutions are not only innovative but also secure and compliant with global financial regulations. Utilizing JPMorgan's vast data resources, you'll build scalable models that process terabytes of market data daily, applying techniques like deep learning and natural language processing to uncover actionable insights. This position offers a unique opportunity to grow within one of the world's most respected financial institutions, with exposure to high-impact projects that shape the future of asset management. In Shanghai's vibrant financial hub, you'll benefit from a supportive culture that values diversity, innovation, and work-life balance, while advancing your career in AI applied to finance.

Key Responsibilities

• Design, develop, and deploy AI models to enhance asset management strategies, including portfolio optimization and risk assessment
• Collaborate with quantitative analysts and portfolio managers to integrate AI-driven insights into investment decision-making processes
• Build and maintain scalable machine learning pipelines for processing vast amounts of market data and alternative data sources
• Conduct research and experimentation on advanced AI techniques, such as reinforcement learning for trading algorithms
• Ensure AI solutions comply with JPMorgan Chase's risk management and data governance standards
• Optimize AI models for performance in high-frequency trading and real-time analytics environments
• Mentor junior engineers and contribute to the firm's AI Center of Excellence
• Monitor and troubleshoot AI systems in production to minimize downtime and ensure reliability
• Stay abreast of emerging AI trends and technologies relevant to the financial services industry

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; advanced degree preferred
• 3-7 years of experience in software engineering, with a focus on AI/ML development in a financial or enterprise environment
• Proficiency in Python, Java, or Scala for building scalable AI systems
• Strong understanding of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data processing tools like Apache Spark or Hadoop for handling large financial datasets
• Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Excellent problem-solving skills and ability to work in a fast-paced, regulated financial services setting

Preferred Qualifications

• Master's or PhD in AI, Machine Learning, or related field
• Prior experience in asset management, quantitative finance, or investment banking at a major firm
• Familiarity with regulatory compliance in financial AI applications (e.g., GDPR, SEC guidelines)
• Contributions to open-source AI projects or publications in machine learning
• Experience with natural language processing (NLP) or computer vision in financial contexts

Required Skills

• Machine Learning and AI model development
• Python programming expertise
• Data analysis and statistical modeling
• Cloud computing (AWS/GCP/Azure)
• Big data technologies (Spark, Hadoop)
• Version control (Git) and CI/CD pipelines
• Financial market knowledge
• Risk management principles
• Agile development methodologies
• Problem-solving and analytical thinking
• Team collaboration and communication
• Regulatory compliance awareness
• SQL and database management
• API development and integration
• Ethical AI practices

Benefits

• Competitive base salary and performance-based bonuses aligned with financial industry standards
• Comprehensive health, dental, and vision insurance coverage for employees and dependents
• Retirement savings plan with generous company matching contributions
• Paid time off, including vacation, sick leave, and parental leave policies
• Professional development opportunities, such as tuition reimbursement and access to JPMorgan's internal training programs
• Wellness programs including gym memberships, mental health support, and employee assistance services
• Flexible work arrangements, including hybrid options in Shanghai
• Global mobility support for career advancement within JPMorgan Chase's international network

JP Morgan Chase is an equal opportunity employer.