Quant Analytics Analyst
This Quant Analytics Analyst role at JPMorgan Chase focuses on applying AI to real‑world products in Metro Manila, collaborating with engineers to design and deliver AI‑enabled solutions. Candidates will gain hands‑on experience in model integration and quantitative analysis within a leading financial institution.
Skills required
About this role
Build skills at the leading edge of applied AI while working on real products that matter. You’ll collaborate with experienced engineers and partners, learn modern development practices, and contribute to AI-enabled applications from design through delivery. This role offers hands-on exposure to model integration, evaluation, and secure data access patterns. If you’re early in your career and eager to grow, we’d like to meet you.
Job summary
As an AI Developer in TBD (team name), you will contribute to the development of applications that use modern AI models and connect to enterprise data in a secure, well-governed way. You’ll work closely with senior developers and cross-functional partners to deliver team-based projects, learn best practices, and build a strong foundation in applied AI engineering.
Job responsibilities
- Assist with designing, building, testing, and improving AI-enabled applications
- Support integration of AI models (including large language models) into software solutions
- Write, review, and debug code under the guidance of senior developers
- Help build data pipelines and connectors that enable secure access to enterprise data sources
- Participate in prompt design, model evaluation, and iterative improvement activities
- Document technical solutions, workflows, and code to support maintainability and knowledge sharing
- Collaborate with engineers, data scientists, and product partners to deliver project outcomes
- Follow data governance, security, privacy, and responsible AI requirements
- Stay current with emerging AI tools, frameworks, and engineering best practices
Required qualifications, capabilities and skills
- Bachelor’s degree (or equivalent practical experience) in computer science, software engineering, data science, artificial intelligence, or a related field
- Foundational programming skills in Python
- Basic understanding of machine learning concepts, including large language models and foundation models
- Familiarity with APIs, data structures, and core software development fundamentals
- Demonstrated problem-solving skills and an eagerness to learn new tools and concepts
- Ability to work collaboratively and follow technical direction from senior developers
- Strong written and verbal communication skills
Preferred qualifications, capabilities and skills
- Experience with AI/ML frameworks and libraries (for example: PyTorch, TensorFlow, Hugging Face, or LangChain)
- Exposure to cloud platforms (for example: AWS or Azure)
- Familiarity with Git and continuous integration/continuous delivery (CI/CD) practices
- Exposure to data pipelines, SQL, and relational databases
- Awareness of responsible AI, data privacy, and security considerations in regulated environments
- Internship, academic, or portfolio project experience involving AI or software development
- Experience supporting more than one Line of Business.
