Quant Analytics Analyst at JPMC Candidate Experience page

Taguig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

28 Jul, 26

Salary

0.0

Posted On

29 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Amazon Bedrock, AWS, Generative AI, Agentic AI, Python, LangChain, Prompt Engineering, RAG, LLM, Data Science, Machine Learning, Software Engineering, API Gateway, Lambda, S3, Step Functions

Industry

Financial Services

Description

Join our innovative team to shape the future of AI applications. Leverage your expertise in Amazon Bedrock and AWS to build intelligent systems that solve complex business problems. Be at the forefront of AI-driven innovation. Job Summary: As an Applied AI Developer within our innovative team, you will design, develop, and deploy generative and agentic AI systems using Amazon Bedrock and the AWS ecosystem. This hands-on role involves orchestrating multi-step, autonomous AI agents to deliver business outcomes. You will collaborate with cross-functional teams to integrate AI capabilities into existing platforms. Job Responsibilities: * Architect and develop end-to-end generative and agentic AI applications using Amazon Bedrock and various LLMs. * Implement multi-step autonomous agents capable of reasoning, task decomposition, and tool use. * Take ownership of AI projects from proof-of-concept through production deployment, ensuring scalability, security, and cost-efficiency. * Conduct prompt engineering, iterative model refinement, and integrate techniques like Retrieval-Augmented Generation (RAG) to enhance LLM accuracy. * Collaborate with data scientists, product managers, and software engineers to define AI-driven workflows. * Ensure security, compliance, and responsible AI practices using AWS services like Guardrails for Amazon Bedrock. * Stay up-to-date with emerging research and technologies in generative AI and agentic systems. Required Qualifications, Capabilities, and Skills: * Proven experience designing, developing, and deploying generative AI solutions in an enterprise environment. * Strong understanding of LLM concepts, prompt engineering, RAG, and fine-tuning techniques. * Expertise in Python. * Experience with agentic frameworks like LangChain or Amazon Bedrock Agents. * Excellent analytical and problem-solving abilities. * Strong communication skills to explain complex AI concepts to both technical and non-technical stakeholders. Preferred Qualifications, Capabilities, and Skills: * Experience with agentic frameworks like LangChain or Amazon Bedrock Agents is highly desirable. * AWS Certified is an advantage; hands-on experience with Amazon Bedrock and core AWS services like Lambda, S3, Step Functions, and API Gateway. * Experience in React is an advantage. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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 [https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about requesting an accommodation. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Responsibilities

You will architect and deploy end-to-end generative and agentic AI applications using Amazon Bedrock and the AWS ecosystem. This role involves collaborating with cross-functional teams to integrate autonomous AI agents into existing platforms to solve complex business problems.