Quant Analytics Associate

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

Job summary

A leading financial institution in Mumbai seeks a Quant Analytics Associate to minimize fraud through analytics and cross-functional collaboration. Candidates should possess a quantitative degree and proficiency in Python, SAS, and SQL. The role emphasizes interpreting complex data, managing fraud strategies, and engaging with various teams. Ideal applicants will be self-starters with strong communication skills and a knack for problem-solving. This is a full-time opportunity offering a dynamic work environment.

Qualifications

• Bachelor’s in quantitative field or 3 years in risk management or quant experience.
• Experience delivering recommendations to leadership.
• Strong analytical and problem-solving abilities.

Responsibilities

• Interpret and analyze data to formulate problem statements.
• Manage and communicate optimal fraud strategies.
• Collaborate with cross-functional partners to solve business challenges.

Skills

Python

SAS

SQL

Analytical problem-solving

Communication skills

Education

Bachelor’s degree in a quantitative field

Tools

AWS

Snowflake

Job description

Join to apply for the Quant Analytics Associate role at JPMorganChase

Job Summary

As a member of the Fraud Prevention Optimization team, you will focus on reducing the cost of fraud through complex analyses combined with business insights and collaboration. Our objective is to reduce losses and/or operating expenses while balancing customer impact through optimizing business processes and decisioning. Team members will frequently interact and communicate with cross‑functional partners and present complex analysis succinctly to managers and executives. This role provides an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard‑hitting business improvements.

Job Responsibilities

• Interpret and analyze complex data to formulate problem statements, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.
• Use advanced analytical & mathematical techniques to solve complex business problems.
• Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud‑related losses and improve customer experience across the credit card fraud lifecycle.
• Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to continually challenge current business practices.
• Provide key data insights and performance metrics to business partners.
• Collaborate with cross‑functional partners to solve key business challenges.
• Assist team efforts in critical projects while providing clear and concise oral and written communication across various functions and levels.
• Champion the usage of the latest technology and tools, such as large language models, to drive value at scale across business organizations.

Required Qualifications, Capabilities, And Skills

• Bachelor’s degree in a quantitative field or 3 years of risk management or other quantitative experience.
• Background in engineering, statistics, mathematics, or another quantitative field.
• Advanced understanding of Python, SAS, and SQL.
• Query large amounts of data and transform it into actionable recommendations.
• Strong analytical and problem‑solving abilities.
• Experience delivering recommendations to leadership.
• Self‑starter with the ability to execute quickly and effectively.
• Strong communication and interpersonal skills with the ability to interact with individuals across departments/functions and with senior‑level executives.

Preferred Qualifications, Capabilities, And Skills

• MS degree in a quantitative field or 2 or more years of risk management or other quantitative experience.
• Hands‑on knowledge of AWS and Snowflake.
• Advanced analytical techniques like machine learning, large language model prompting, or natural language processing will be an added advantage.

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.

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Research, Analyst, and Information Technology

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