Data Analyst

JPMC’s interview process typically starts with a timed online aptitude test, followed by a technical interview that probes SQL queries, data manipulation in Python, and scenario‑based case studies related to AML/KYC. The final HR round assesses cultural fit and communication skills. Candidates find the rounds moderately challenging but manageable with solid preparation.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL/Python & case study) → Round 3: HR Interview (fitment and behavioral questions)

JPMC promotes a collaborative work environment where learning and innovation are encouraged. Employees benefit from mentorship programs, regular upskilling workshops, and a healthy work‑life balance supported by flexible timings and wellness initiatives.

Graduates with a minimum 60% aggregate in B.Tech/B.E, B.Sc (Computer Science, Statistics, Mathematics) or B.Com (Finance, Economics). Final year students of 2025‑2026 batch are eligible. No active backlogs at the time of joining. Candidates should have strong analytical ability, basic knowledge of SQL/Python, and good communication skills.

J.P. Morgan Chase & Co. (JPMC) is one of the world’s leading financial services firms, with a presence in over 100 countries and a legacy of more than two centuries. In India, JPMC operates across banking, markets, and asset management, delivering innovative solutions to corporate, institutional, and retail clients. The company is known for its strong emphasis on technology, data-driven decision making, and a culture that encourages continuous learning and collaboration. As a fresher-friendly organization, JPMC invests heavily in onboarding programs, mentorship, and skill‑upgradation to help new graduates transition smoothly into the professional world. The Data Analyst role at JPMC Bengaluru is designed for fresh graduates who are passionate about turning raw data into actionable insights. You will work closely with cross‑functional teams, including risk, compliance, and product managers, to support client onboarding, AML/KYC processes, and operational efficiency initiatives. Your analytical mindset will help the bank detect suspicious patterns, improve service quality, and drive data‑centric strategies. Key responsibilities include: 1. Address escalated service issues promptly while maintaining high customer‑service standards. 2. Make independent, strategic decisions based on data insights and experience. 3. Support client onboarding and fulfill AML and KYC requirements, ensuring compliance and risk assessment. 4. Conduct thorough investigations to establish AML typologies and produce accurate reports. 5. Identify opportunities to refine processes, increase operational efficiencies, and manage stakeholder relationships. 6. Analyze transaction data to spot patterns, verify legitimacy, and interact with bankers and customers for necessary information. 7. Prepare dashboards and visual reports for senior leadership. 8. Collaborate with technology teams to automate repetitive analytical tasks. 9. Stay updated with regulatory changes and incorporate them into analytical frameworks. 10. Contribute to knowledge‑sharing sessions and documentation. Tech stack typically includes SQL, Python (pandas, numpy), Excel, Tableau/PowerBI, and basic knowledge of statistical tools. JPMC encourages certification in data analytics and offers internal training platforms for continuous upskilling. Growth path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually to roles such as Data Scientist or Business Intelligence Manager. The exposure to global banking processes and compliance frameworks equips you with a versatile skill set valued across the financial sector. Why join JPMC? You will be part of a globally recognized brand that values diversity, innovation, and ethical conduct. The firm offers competitive compensation, robust learning resources, and a clear career trajectory, making it an ideal launchpad for fresh talent aspiring to build a long‑term career in data analytics within the financial industry.