Data Scientist Associate Senior

Posted 14 Days Ago
Bengaluru, Karnataka
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Data Scientist Associate Senior at JPMorgan Chase is responsible for developing and maintaining data architectures and pipelines, implementing machine learning models, and collaborating with teams to advance AI solutions. Main tasks include ensuring data protection, conducting statistical analysis, and tailoring tools for business needs.
Summary Generated by Built In

Job Description
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Scientist Associate Senior at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data. Develop and implement machine learning models and algorithms to solve complex problems. Design, train, and fine-tune large language models and LLM agents for various applications.
  • Advises and makes custom configuration changes in one to two tools to generate a product at the business or customer request. Collaborate with cross-functional teams to integrate AI solutions into products and services. Conduct research to advance the state-of-the-art in AI and machine learning technologies.
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Adds to team culture of diversity, equity, inclusion, and respect


Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Experience with AI/ML, LLM, Python, AWS. Experience as a Data Engineer
  • Experience with prompt design and implementation or chatbot application
  • Hands-on with AWS cloud services: Open Search, ECS / EKS
  • Advanced at SQL (e.g., joins and aggregations)
  • Working understanding of NoSQL databases
  • Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in a tool to generate product


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.
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
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.

Top Skills

Python

What the Team is Saying

Nick S.
Lupe C.
Edwin T.
Dawn T.
Meng M.
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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