Data Scientist Associate Senior
JPMorgan
Hyderabad, Telangana, India
Category
IT
Position Type
Full-Time
Company Overview
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.
Position Summary
Join us for a unique opportunity to shape data strategy and make a large-scale impact at a leading financial services firm. As a Data Scientist Associate Senior within the Data & Analytics Data Strategy and Product organization, you will collaborate with internal stakeholders and external suppliers to deliver high-quality external data solutions. You will help modernize data delivery and enable cloud-based publishing, supporting strategic priorities for the firm.
Key Responsibilities
- Manage external data cloud publishing requests, ensuring viability, quality, accuracy, and usability.
- Collaborate with engineering teams to modernize external data delivery for analysts and modelers.
- Serve as a technical liaison between product, engineering, and data users.
- Design and implement processes for extracting and refining metadata into data discovery solutions.
- Communicate scope and status of data management and publishing requests to stakeholders.
- Support the refinement of large language model solutions for metadata discovery.
Experience Required
Three years of experience in data and analytics or equivalent.
Education Requirements
- Bachelor’s degree and three years of experience in data and analytics or equivalent.
Technical Skills
Languages
- Python
- Java
Frameworks
- Apache Spark
Soft Skills
- Strong analytical and problem-solving skills with a determination to become a subject matter expert.
- Ability to communicate business strategy with internal stakeholders and external suppliers.
- Strong project management skills with the ability to manage multiple projects in a team setting.
- Demonstrates detail-oriented work, ensuring accuracy and consistency over time.
Preferred Qualifications
- Technical experience in Apache Spark and programming languages such as Python and Java.
- Experience in building data pipelines, data management and experience working with external suppliers and sourcing external data.
- Familiarity with fundamentals of cloud computing and providers such as AWS, Snowflake, Azure, or GCP.
- Familiarity with GenAI solutions and their application in financial services.
Reference Number
210669309
Equal Opportunity
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.