Associate - Quant Analytics

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Develop and maintain quantitative revenue models for Consumer and Business Banking. Prepare, transform, validate, and analyze large datasets using SQL, Python, and Databricks; perform model testing and back-testing; evaluate performance and variances; identify customer and business insights; and communicate recommendations to Finance, Technology, Business, and senior leadership stakeholders.
Summary Generated by Built In

Join a finance team that supports the Consumer and Business Banking segment with reporting, planning, analytics, and decision-support. In this role, you will help develop and maintain quantitative revenue models and build high-quality datasets that power decisions. You will combine strong technical skills with an understanding of banking products, pricing structures, revenue drivers, and customer behavior. Your work will influence stakeholder outcomes through clear analysis, validated data, and actionable insights.

Job summary 

As a Revenue Finance Quantitative Analytics and Data Engineering Analyst within the Consumer and Business Banking Finance team, you will support the development and maintenance of revenue models through quantitative analytics, data engineering, and model implementation. You will prepare and validate large datasets, perform model testing and back-testing, and evaluate model performance to support business objectives. You will apply knowledge of banking products, pricing structures, revenue drivers, and customer behavior to deliver meaningful insights to internal stakeholders, including Finance and Business Management leaders and field finance teams. You will partner across Technology, Finance, and Business teams to translate requirements into analytical solutions and support successful deployment. This role follows a 2:00pm to 11:00pm shift and works in a hybrid in-office model.

Job responsibilities
  • Develop and support quantitative revenue models by preparing, validating, and transforming large datasets using Databricks, while ensuring data quality through root cause analysis and issue resolution
  • Implement, test, and back-test quantitative models within cloud-based and analytical environments using Python, ensuring model accuracy, robustness, and scalability
  • Evaluate model performance, analyze variances, and communicate findings through clear, data-driven recommendations that support business objectives
  • Leverage deep understanding of Consumer and Business Banking products, pricing structures, and revenue drivers to support analytical and strategic decision-making
  • Conduct advanced analytics and customer behavior deep dives to identify business opportunities, uncover trends, and generate actionable insights for stakeholders
  • Partner effectively across Technology, Finance, and Business teams to translate business requirements into analytical solutions and drive successful model deployment
  • Prepare and deliver executive-level presentations that effectively communicate complex quantitative, financial, and technical concepts to senior leadership and key stakeholders
Required qualifications, capabilities, and skills 
  • Bachelor’s degree required
  • Advanced proficiency in SQL, Python, and Databricks, with experience in data preparation, transformation, validation, and quantitative model implementation
  • Experience working with large, complex datasets and deriving actionable business insights
  • Strong analytical and problem-solving skills
  • Minimum 2 to 4 years of experience in quantitative analytics, data science, and financial modeling
  • Understanding of banking products, pricing structures, revenue drivers, and customer behavior
  • Ability to evaluate model performance, analyze variances, and communicate data-driven recommendations
  • Strong collaboration skills and ability to partner across Technology, Finance, and Business teams
  • Ability to prepare and deliver executive-level presentations communicating complex quantitative, financial, and technical concepts
  • Attention to detail, critical thinking, and ability to manage multiple priorities in a fast-paced team environment
  • Positive attitude and intellectual curiosity
Preferred qualifications, capabilities, and skills 
  • Master of Science, Master of Technology, or Master of Business Administration (Finance)
  • Experience with cloud-based analytics platforms
  • Familiarity with AI tools, Tableau, and Alteryx
  • Familiarity with financial modeling
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
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

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. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Skills Required

  • Bachelor's degree
  • Advanced proficiency in SQL, Python, and Databricks
  • Experience with data preparation, transformation, validation, and quantitative model implementation
  • Experience working with large, complex datasets and deriving actionable business insights
  • Strong analytical and problem-solving skills
  • 2 to 4 years of experience in quantitative analytics, data science, and financial modeling
  • Understanding of banking products, pricing structures, revenue drivers, and customer behavior
  • Ability to evaluate model performance, analyze variances, and communicate data-driven recommendations
  • Strong collaboration skills across Technology, Finance, and Business teams
  • Ability to prepare and deliver executive-level presentations
  • Attention to detail, critical thinking, and ability to manage multiple priorities
  • Master of Science, Master of Technology, or MBA in Finance
  • Experience with cloud-based analytics platforms
  • Familiarity with AI tools, Tableau, and Alteryx
  • Familiarity with financial modeling

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
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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