Data Scientist Associate Senior

JOB DESCRIPTION

As a Data Scientist Senior Associate in Asset and Wealth Management AI Engineering team, you will play a lead role as a seasoned member of our global AI team. Your responsibilities will entail hands-on development of high-impact business solutions through data analysis, developing cutting-edge ML and LLM models, and deploying these models to production environments on AWS or Azure.

You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you're already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.

Job Responsibilities

Collaborate with firmwide AI/ML teams, Business and Product Partners, peers in geographically dispersed teams, and colleagues across JPMorgan AWM's lines of business and functions to drive alignment, accelerate adoption of common AI capabilities, and deliver impactful solutions

Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions

Design and implement highly scalable and reliable data processing pipelines and deploy model inference services

Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a huge technology and business impact

Deploy solutions into public cloud infrastructure

Required Qualifications, Capabilities, and Skills

MS in Computer Science, Statistics, Mathematics, or Machine Learning

Minimum 7 years of development experience, with at least 4 years working on AI solutions.

Experience in using LLMs (OpenAI, Anthropic, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails;

Must have strong programming skills in Python

Deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics

Demonstrated ability to perform independent end-to-end solution design, with attention on modern architecture, scalability and security

Expert knowledge of one of the cloud computing platforms , Amazon Web Services (AWS), Azure, Kubernetes

Knowledge of data management, including data model design, as well as real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)

Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions

Excellent communication skills and ability to communicate with senior technical and business partners

Preferred Qualifications, Capabilities, and Skills

Experience working in the financial domain with a large financial institution in Asset and Wealth Management, Brokerage, or Investment Banking will be an added advantage

Understanding of LLM fine-tuning and small language model inference is a plus

Ability to develop full-stack products, utilizing modern JavaScript and TypeScript frameworks, such as Next.js and Svelte

Knowledge of other high-performance languages, such as Go or Rust

ABOUT US

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.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.