Fraud Prevention Strategy - Data Analytics Associate

Fairygodboss; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorganChase seeks a Quantitative Analytics Associate to turn complex analytics into actionable fraud strategy, balancing customer impact with growth opportunities in a dynamic team. You will reduce losses and optimize fraud lifecycle processes while delivering insights to leadership.

You will leverage Python, SAS, SQL, and cloud tools to analyze large data sets, develop risk indicators, and present concise conclusions to executives.

Qualifications

• Bachelor's degree in engineering, statistics, mathematics, or another quantitative field, or 3+ years of risk management or other quantitative experience.
• Proficiency in Python, SAS, and SQL.
• Ability to query large datasets and translate results into actionable recommendations.

Responsibilities

• Interpret complex data to define problem statements and deliver concise conclusions on risk dynamics, trends, and opportunities.
• Apply advanced analytical and mathematical techniques to solve complex business problems.
• Develop, communicate, implement, and manage fraud strategies to reduce fraud-related losses and improve customer experience across the credit card fraud lifecycle.
• Identify key risk indicators, define and enhance key metrics and reporting, and uncover new areas of analytic focus to challenge current business practices.
• Provide data insights and performance updates to business partners.
• Collaborate with cross-functional partners to solve key business challenges.

Skills

Python

SAS

SQL

Data analysis

Communication

Cross-functional collaboration

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

AWS

Snowflake

Job description

Make your mark protecting customers by turning complex analytics into fraud strategy, with strong growth and mobility opportunities.

As a Quantitative Analytics Associate within the Fraud Prevention Optimization Strategy team, you reduce fraud losses and operating expenses while balancing customer impact by optimizing business processes and decisioning. You deliver complex analyses paired with business insight, collaborate with cross-functional partners, and present conclusions succinctly to managers and executives. You leverage advanced analytics and tools such as large language models to drive sustainable, scalable business improvements.

Job Responsibilities:

• Interpret complex data to define problem statements and deliver concise conclusions on risk dynamics, trends, and opportunities
• Apply advanced analytical and mathematical techniques to solve complex business problems
• Develop, communicate, implement, and manage fraud strategies to reduce fraud-related losses and improve customer experience across the credit card fraud lifecycle
• Identify key risk indicators, define and enhance key metrics and reporting, and uncover new areas of analytic focus to challenge current business practices
• Provide data insights and performance updates to business partners
• Collaborate with cross-functional partners to solve key business challenges
• Support critical projects with clear, concise verbal and written communication across functions and levels
• Champion the use of modern technology and tools, such as large language models, to drive value at scale

Required qualifications, skills, and capabilities:

• Bachelor's degree in engineering, statistics, mathematics, or another quantitative field, or 3+ years of risk management or other quantitative experience
• Proficiency in Python, SAS, and SQL
• Ability to query large datasets and translate results into actionable recommendations
• Strong analytical and problem-solving skills
• Experience delivering recommendations to leadership
• Self-starter with the ability to execute quickly and effectively
• Strong communication and interpersonal skills, with the ability to partner across departments and functions and with senior-level leaders

Preferred qualifications, skills, and capabilities:

• Master's degree in a quantitative field, or 4+ years of risk management or other quantitative experience
• Hands-on knowledge of Amazon Web Services and Snowflake
• Experience applying machine learning, large language model prompting, or natural language processing techniques

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.