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AI Strategy and Commercialization - Associate, APAC Chief & Data Analytics Office
Singapore
·
On-site
·
Full-time
·
2w ago
Benefits & Perks
•Healthcare
•401(k)
•Mental Health
•Learning Budget
•Healthcare
•401k
•Mental Health
•Learning
Required Skills
AI/ML concepts
Data management
Problem-solving
Communication
Project management
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 APAC AI Strategy & Enablement, the individual supports the team in advancing the region's AI strategy and execution. Working closely with business and functional teams, the Associate assists in the development of AI roadmaps, helps identify and analyze AI use cases, and contributes to the delivery of solutions that drive client value, operational efficiency, and risk management. This role requires a foundational understanding of wholesale banking and asset management business domains, as well as exposure to data and AI capabilities-including data strategy, traditional and frontier AI (GenAI/ML), and agentic AI-implemented safely and compliantly within a Financial Services environment.
The Associate contributes to responsible innovation, helping the region realize commercial value and operational efficiency through analytics and AI solutions, while supporting alignment with global AI governance standards.
Key Responsibilities
- Assist in gathering and analyzing business requirements for AI use cases.
- Support ideation workshops, design sessions, and discovery engagements.
- Contribute to the development of project plans, timelines, and success metrics that drive effective execution of AI initiatives.
- Help translate business needs into clear technical requirements, ensuring AI solutions are tailored for real-world impact.
- Conduct research on industry trends, technology advancements, and regulatory changes.
- Prepare presentations, reports, and documentation for stakeholders.
- Support compliance with data management, governance, and regulatory standards.
- Promote AI literacy and continuous learning within the team.
- Collaborate with cross-functional teams to ensure successful delivery of AI projects.
Required Qualifications, Capabilities, and Skills
- Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related quantitative field.
- Formal training or certification with 5+ years of experience in AI, data science, technology, or analytics within financial services.
- Understanding of financial services business lines and functions.
- Familiarity with AI/ML concepts, GenAI, and data management.
- Strong analytical, problem-solving, and communication skills.
- Experience working in cross-functional teams.
- Ability to learn quickly and adapt to new technologies and business needs.
- Awareness of APAC regulatory environment and cultural diversity.
Preferred Qualifications, Capabilities, and Skills
- Experience supporting AI/ML projects from ideation to delivery.
- Knowledge of capital markets or asset management domains.
- Exposure to data governance and regulatory frameworks.
- Experience in preparing stakeholder communications and reports.
ABOUT US
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.
ABOUT THE TEAM:
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.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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