Data Management Associate - Bengaluru- 2026 ReEntry Program at JPMC Candidate Experience page

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

0.0

Posted On

16 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, Alteryx, Data Management, Data Quality, KYC, AML, Data Transformation, Automation, Reporting, Collaboration, Problem Solving, Communication, Attention to Detail, Learning

Industry

Financial Services

Description

At JPMorganChase, we recognize that rewarding careers do not always follow a conventional path. We value the diversity, fresh perspective and wealth of experience that returning professionals can bring. The ReEntry program offers experienced professionals, who are currently on an extended career break of at least two years, the support and resources needed to relaunch their careers. The program spans over 30 locations worldwide. The ReEntry Program is a 15-week fellowship program, beginning April 20, 2026 and ending July 31, 2026 with the prospect of an offer for permanent employment with JPMorganChase at the end of the program. The permanent placements will be based on both business needs and candidate skill set. Please refer to our ReEntry Overview page for further information regarding the Program. Job Summary: As a Data Management Associate within the WKO Data Management Team, you will support the delivery of robust data management solutions for KYC LOB stakeholders. You will collaborate with senior team members to ensure data quality, support data exploration, and contribute to the development of analytical solutions. Your role involves performing data analysis using SQL and other tools to meet business requirements and data management initiatives. You will utilize data transformation tools, preferably Alteryx, to clean, transform, and prepare data for reporting and analytics. Supporting database operations, including querying, updating, and basic administration, is part of your responsibilities. You will apply Python scripts for data manipulation, automation, and exploratory analysis. Assisting in translating business requirements into actionable data deliverables is expected. You will document data mappings, processes, and findings to ensure transparency and reproducibility. Generating and maintaining reports from multiple data sources to support business insights is also part of your duties. Exposure to Large Language Models (LLMs), AI concepts, or prompt engineering is a must, and familiarity with AML and KYC processes and requirements is beneficial. Job Responsibilities: Perform data analysis using SQL and other tools to support business requirements and data management initiatives. Utilize data transformation tools (preferably Alteryx) to clean, transform, and prepare data for reporting and analytics. Support database operations, including querying, updating, and basic administration Apply Python scripts for data manipulation, automation, and exploratory analysis. Assist in translating business requirements into actionable data deliverables. Document data mappings, processes, and findings to ensure transparency and reproducibility. Generate and maintain reports from multiple data sources to support business insights. Gain Exposure to Large Language Models (LLMs), AI concepts, or prompt engineering is a must. Develop Familiarity with AML, KYC processes and requirements is beneficial. Required qualifications, capabilities, and skills: Hold a Bachelor’s degree or equivalent in Computer Science, Statistics, Data Management, or a related field. Demonstrate 5+ years of experience in data analysis, data management, or related roles with strong analytical and problem-solving skills. Exhibit proficiency in SQL, Python, and experience with Alteryx or similar data transformation tools. Apply knowledge of database concepts, operations, and LLM/AI/prompt engineering. Understand KYC, AML, or client reference data processes and ensure high data quality. Communicate effectively, both written and verbal, and collaborate well within teams. Manage multiple priorities independently, showing attention to detail and eagerness to learn new technologies. 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. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Responsibilities

As a Data Management Associate, you will support data management solutions for KYC stakeholders, ensuring data quality and contributing to analytical solutions. Your role includes performing data analysis, utilizing data transformation tools, and generating reports to support business insights.