AI/ML Solutions Enablement – Associate, APAC Chief & Data Analytics Office at JPMC Candidate Experience page

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Natural Language Processing, Data Science, Analytics, Technical Documentation, Stakeholder Engagement, Problem Solving, Communication, Data Quality, Collaboration, Research, Ethical AI, Financial Services, Project Delivery, Knowledge Sharing

Industry

Financial Services

Description

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firm's data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the APAC markets and businesses. As an Associate in AI/ML Solutions Enablement, APAC, the individual supports the team in driving awareness, adoption, and value realization of AI/ML solutions across the region. The Associate assists in identifying use cases, gathering business requirements, preparing technical documentation, and supporting the operationalization of AI/ML capabilities. The Associate helps promote AI literacy, facilitates knowledge sharing, and contributes to building a collaborative community around data and AI solutions. Key Responsibilities Assist in identifying and scoping AI opportunities by gathering and analyzing business requirements. Support the adoption of AI/ML capabilities within business initiatives, helping to track value and outcomes. Work with business and technology teams to understand challenges and help translate requirements into technical documentation and delivery plans. Contribute to prioritizing business problems that AI/ML can address, supporting the alignment of solutions with business objectives. Help operationalize AI/ML capabilities across business units by supporting project delivery and stakeholder engagement. Assist in translating business needs into technical requirements and communicating AI outputs in clear, business-focused language. Promote AI literacy and continuous learning within the team, encouraging engagement and development. Support knowledge sharing and help build a collaborative community around data and AI solutions. Conduct research on industry trends, best practices, and emerging technologies in AI/ML. Prepare presentations, reports, and documentation for stakeholders and technical forums. Required Qualifications, Capabilities, and Skills Bachelor’s degree in Computer Science, Artificial Intelligence, Applied Statistics, Mathematics, Engineering, or a related quantitative field. Formal training or certification and 5+ years of experience in AI/ML, data science, analytics, or technology roles Foundational understanding of AI, machine learning (ML), and natural language processing (NLP) concepts. Experience supporting data collection, cleaning, analysis, and interpretation to ensure data quality and inform decision-making. Basic technical knowledge (such as programming fundamentals or familiarity with AI frameworks) to work effectively with technical teams. Experience assisting in the delivery of AI/ML solutions, collaborating with cross-functional teams. Strong analytical, problem-solving, and communication skills, with the ability to help translate technical concepts into business value. Willingness to learn how to measure the impact and ROI of AI solutions using relevant metrics. Ability to work with stakeholders and support change management and collaboration across teams. Ability to communicate technical AI concepts in clear, business-focused language. Awareness of APAC regulatory requirements and cultural diversity. Preferred Qualifications, Capabilities, and Skills Exposure to building or customizing AI/ML tools and workflows. Interest in ethical AI/ML practices and governance frameworks. Experience or interest in the financial services industry, especially in APAC. Experience working with or supporting globally distributed teams. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Responsibilities

The Associate supports the team in driving awareness, adoption, and value realization of AI/ML solutions across the APAC region. Key tasks include identifying use cases, gathering business requirements, and operationalizing AI/ML capabilities.