Advertisements
🏢 JP Morgan
Quant Analytics - Analyst
💼 Fulltime
📍 Bengaluru, Karnataka
🔗 Explore More
🛠 Skills Required
SQL
Python
data analysis
reporting
business intelligence
finance
data governance
data science
machine learning
Advertisements
🎤 Interview Experience
The interview process typically consists of three rounds: online assessment, technical interview, and HR interview. The difficulty level is moderate to high, with a focus on technical skills, problem-solving, and communication. Common questions include data analysis, SQL, and Python programming. Tips for preparation include practicing data analysis and programming problems, reviewing the company's website and values, and preparing to talk about your experience and skills.
🏢 Work Culture
JPMorganChase values diversity, inclusion, and employee well-being, with a culture that encourages collaboration, innovation, and excellence
Advertisements
<
📚 Free Study Materials (4)
Data Analysis Practice Questions
Practice data analysis questions to improve your skills and knowledge
Open Resource ↗
Interview Experiences and Tips
Learn from the experiences of others and get tips for your interview
Open Resource ↗
Quantitative Aptitude Study Materials
Study materials to help you prepare for quantitative aptitude tests
Open Resource ↗
Programming Practice Problems
Practice programming problems to improve your coding skills
Open Resource ↗
Advertisements
✅ Eligibility Criteria
Bachelor's degree or equivalent experience, with 2 years of experience in data analysis, reporting, business intelligence, or an analytical finance support role
🏆 Selection Process
Round 1: Online assessment → Round 2: Technical interview → Round 3: HR interview
🔔 Apply before 13 Aug 2026 — 27 days remaining
📋 About the Role
JPMorganChase is one of the oldest financial institutions, offering innovative financial solutions to millions of consumers, small businesses, and prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. With a history spanning over 200 years, the company is a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management. The Consumer & Community Banking division serves Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing.
As a Quant Analytics - Analyst within the Consumer Banking team in Bengaluru, you will perform foundational analysis across branch performance data to identify trends, surface anomalies, and inform new questions and actions. You will partner with finance and business stakeholders to define data requirements, ensure data quality and integrity across sources, and translate business definitions into durable datasets. Using strong SQL and Python skills, you will support the development of standardized metrics, recurring reporting, and dashboards that enable consistent, timely, and well-governed insights for Branch Performance.
Key responsibilities include gathering, extracting, and preparing branch network and occupancy cost data from legacy sources and Databricks for finance reporting and analysis, developing and maintaining SQL queries and Python-based workflows to support recurring reporting, ad-hoc analysis, and data validation, understanding and documenting data definitions, business rules, and source-to-target mappings to support legacy-to-Databricks transition and ongoing lineage clarity, performing reconciliations between legacy outputs and Databricks datasets, and supporting finance partners by translating questions into clear analytical requirements and producing accurate, explainable outputs aligned to finance definitions.
The company recognizes that its people are its strength, and the diverse talents they bring to the global workforce are directly linked to its success. JPMorganChase is an equal opportunity employer and places a high value on diversity and inclusion. The company makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science, and machine learning. The team powers Chase with insights to create the best customer and business outcomes.
Tech stack includes SQL, Python, Databricks, and ThoughtSpot. Growth path includes opportunities to work on complex projects, collaborate with cross-functional teams, and develop leadership skills. Why join this company? JPMorganChase offers a competitive salary package, opportunities for career growth and development, and a diverse and inclusive work environment.
The company culture values diversity, inclusion, and employee well-being. Employees are encouraged to take ownership of their work, collaborate with colleagues, and strive for excellence in their roles. The company offers various benefits, including health insurance, retirement plans, and paid time off.
JPMorganChase is committed to creating a work environment that is inclusive, respectful, and supportive of all employees. The company believes in fostering a culture of diversity, equity, and inclusion, where everyone feels valued, respected, and empowered to contribute their best work.
In terms of growth path, the company offers various opportunities for career advancement, including training and development programs, mentorship, and leadership opportunities. Employees are encouraged to take ownership of their careers, develop new skills, and pursue new challenges.
Overall, JPMorganChase is a great place to work for those who are passionate about finance, data analysis, and customer service. The company offers a dynamic and supportive work environment, opportunities for career growth and development, and a competitive salary package.
The role of a Quant Analytics - Analyst is critical to the success of the Consumer & Community Banking division. The ideal candidate will have a strong background in data analysis, reporting, and business intelligence, with experience working with complex datasets and resolving inconsistencies in definitions and outputs. The candidate will also have strong SQL and Python skills, with the ability to structure and communicate analysis clearly to finance and non-technical stakeholders.
In conclusion, JPMorganChase is a great company to work for, with a rich history, diverse workforce, and commitment to excellence. The role of a Quant Analytics - Analyst is a great opportunity for those who are passionate about data analysis, finance, and customer service. With a competitive salary package, opportunities for career growth and development, and a diverse and inclusive work environment, JPMorganChase is an ideal place to start or advance your career.
🔔 Apply before 13 Aug 2026 — 27 days remaining
📤 Share this Job
Advertisements
💼 More Fulltime Opportunities
AI/ML Computational Science Associate
🏢 Accenture · 📍 Bengaluru
View →
Customer Service Representative
🏢 jobs.concentrix.com · 📍 Chennai, India
View →
Software Engineer - Development
🏢 Sutherland · 📍 Bengaluru - KA
View →
Software Developer - IC
🏢 Adani Enterprise Limited · 📍 Ahmedabad, Gujarat
View →
📋 Quick Info
JOB ID
C011-J097
POSTED
1h ago
TYPE
Fulltime
BATCH
All Batches
⚠️ Disclaimer: This listing is indexed from public sources and may include creator-submitted or AI-generated details such as salary, interview, work culture, eligibility, and study materials. These details may be inaccurate or outdated. Company names and trademarks belong to their respective owners, and Jobdexo is not affiliated with or endorsed by the hiring company or linked third-party sites. Always verify all details on the official company website before applying. We never charge any fee for job applications. Found something suspicious? Report here → | Read full disclaimer