Associate - Quant Analytics

JPMorganChase; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JPMorganChase invites a Quantitative Analytics Professional to lead analytical initiatives in Finance Decision Optimization for Consumer & Community Banking. You will define modeling requirements, collaborate with modeling and tech teams, and present findings to senior stakeholders in Bengaluru.

The role involves data extraction with SQL/Python, cloud-based analytics (Databricks/AWS), and building dashboards to monitor model performance. Strong communication and leadership are essential.

Qualifications

• Postgraduate degree in a quantitative discipline is required.
• 3+ years of data analytics experience with increasing responsibility.
• Banking experience in U.S. consumer credit portfolios is preferred.
• Strong data synthesis and clear communication to leadership.
• Experience with SQL, Python and public cloud (Databricks) and Excel/PowerPoint.
• Able to work under pressure and meet deadlines.
• Collaborative, self-starting, and leadership-oriented.

Responsibilities

• Define modeling requirements for optimizing financial decisions across lending and deposits.
• Collaborate with business modeling to develop robust models.
• Present results clearly to executive audiences and coordinate with Modeling & Tech teams.
• Analyze model inputs/outputs to support development and deployment.
• Collaborate with finance, data, technology, and business teams.
• Integrate model outputs into business strategies and monitor impact.
• Provide analytics support to governance, compliance, and related groups during MVP release.
• Design MVP test plans and ensure track to release based on results.
• Develop and maintain dashboards and reporting to monitor model performance.

Skills

SQL

Python

Databricks

Excel

PowerPoint

Public cloud AWS

Data analytics

Communication

Leadership

Teamwork

Self-motivation

Education

Postgraduate degree in Mathematics/Finance/Economics/Statistics

Tools

Databricks

AWS

Job description

Job Description

Advance your career in Quantitative Analytics with a leading role at the world's most innovative bank, renowned for valuing creativity and excellence. The Finance Decision Optimization product team within Consumer and Community Banking Finance is tasked with overseeing all analytics and support related to the development, maintenance, and production deployment of AI/ML-based models across all Consumer and Community Banking Lines of Business. If you are a strategic thinker with a passion for promoting solutions in quantitative analytics, you have found the right team.

As a Quantitative Analytics Professional within our Consumer and Community Banking Finance team, you will play a crucial role in defining, refining, and achieving the firm's strategic goals. You will lead analytical initiatives during the Finance Decision Optimization product development for consumer lending products as a part of the Consumer and Community Banking Product and Transformation team. The Finance Decision Optimization team supports various lines of business, including home lending, retail banking, auto finance, wealth management, and business banking. This position requires a visionary approach, the ability to present to executive stakeholders, and the responsibility to ensure engineering teams meet overarching delivery objectives. While this is not a model development role, it involves close collaboration with modeling, data, business, and technology teams to deliver analytical solutions, conduct deep dives, assess whether models under development meet business requirements, and perform back-testing.

Job responsibilities

• Define modeling requirements for optimizing financial decisions across lending and deposit products, including mortgage, auto, card, business banking, and wealth management.
• Collaborate closely with the business modeling team to develop robust financial decision-making models.
• Present results and recommendations clearly and concisely and curate presentations as per executive audience like CFOs. Work with Modelling & Tech team to conduct tie-out excercise before handing over the models to Tech.
• Analyze model inputs and outputs to support model development and deployment.
• Collaborate effectively with finance, modeling, data, technology, and business teams.
• Partner with business teams to integrate model outputs into business strategies.
• Conduct comprehensive analyses to assist management in understanding the business impact of financial strategies before and after the incorporation of these models.
• Collaborate with other partners and provide analytical/data support to legal, compliance, Data Governance, Model Review Group, Fair Lending, etc in order for MVP to be released
• Design Minimum Viable Product (MVP) test plans, effectively conduct tests and collaborate with partners to get MVP on release track based on tests results
• Develop and maintain dashboards and relevant reporting to monitor model performance.

Required Qualifications, Capabilities, And Skills -

• A postgraduate degree in a quantitative discipline such as Mathematics, Finance, Statistics, Economics, or equivalent work/training is required
• 3+ years of experience in data analytics with a proven track record of increasing responsibility.
• Banking experience in one or more U.S. consumer credit portfolios (e.g., U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking).
• Knowledge of finance processes, particularly pricing and macroeconomics. Ability to synthesize data and communicate effectively to leadership both verbally and in writing.
• Meticulous attention to detail, analytical and inquisitive, with high standards for quality and accuracy. Experience with data extraction and analysis tools such as SQL, Python and working experience in public cloud, Databricks
• Proficiency in Microsoft Office, especially Excel and PowerPoint. Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals
• Able to work effectively under pressure and in a rapidly changing environment in order to meet deadlines
• Collaborative, team-oriented, passionate about supporting our internal / external clients
• Self-starter, able to take the initiative and operate independently on a daily basis. Exhibited leadership and desire to oversee the development of junior team members

Preferred Qualifications, Capabilities, And Skills

• An advanced degree is preferred.
• Strong technical and statistical skills, with experience in the development or use of ML models preferred.
• Experience with data extraction and analysis tools such as SQL, Python and working experience in public cloud (preferably AWS), Databricks

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.