Quant Analytics Senior Associate

Fairygodboss; Mumbai; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

JPMorganChase in Mumbai, India, seeks a Quantitative Analytics Senior Associate to blend data science with business strategy. You’ll guide reporting, deep-dive analyses, and product performance insights, collaborating with stakeholders to turn data into actionable decisions.

The role emphasizes advanced analytics, data visualization, and influence across senior leadership. Join a team that enables data-driven decisions and continuous improvement within Consumer & Community Banking Data &

Qualifications

• Bachelor's degree in a quantitative field with 6+ years of relevant experience
• Proficiency with Python or SAS and Big Data technologies such as Snowflake or Databricks
• Strong SQL skills and experience with relational databases
• Ability to translate complex analyses into clear business insights
• Experience with data visualization and reporting tools such as Tableau or Alteryx
• Proven ability to influence stakeholders and communicate with senior leadership
• Experience with machine learning, NLP, or LLM is a plus

Responsibilities

• Manage and analyze large, complex datasets to develop actionable insights and measurable outcomes
• Apply advanced analytics to identify patterns and translate findings into business decisions
• Communicate results clearly to business partners and senior leadership
• Perform sophisticated analysis and deliver insights using modern visualization and reporting tools
• Serve as SME for data-driven decision-making and analytics methodologies
• Collaborate with clients to solve quantitative business problems and optimize performance
• Align with data owners to contribute to data models and analytics architecture
• Identify data quality issues and opportunities for process improvement
• Execute responsibilities with autonomy and stakeholder engagement

Skills

Python

SQL

Data analysis

Big Data

Data visualization

Stakeholder management

Communicate findings

Machine learning

Education

Bachelor's degree in quantitative field

Tools

Snowflake

Databricks

SQL databases

Tableau

Alteryx

AWS

Jira/Confluence

Job description

You'll join the Consumer & Community Banking - Data & Analytics team, a strategic partner to the Consumer & Community Banking organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you'll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Data & Analytics team.

Quantitative Analytics Senior Associate within the Consumer & Community Banking - Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions, ongoing reporting, and deep-dive analyses that address emerging business challenges. You'll collaborate with stakeholders to define goals and develop strategies that drive product performance and enhance user experience. You leverage advanced analytics to inform product development and investment decisions.

Job responsibilities

• Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
• Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
• Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
• Conduct sophisticated analysis and deliver tactical and strategic insights using modern visualization and reporting tools
• Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
• Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
• Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
• Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
• Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Required qualifications, capabilities and skills

• Bachelor's degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 6+ years of relevant experience
• Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
• Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
• Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
• Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
• Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
• Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
• Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
• Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences
• Work experience in AWS, Spark/EMR, ChatGPT, Confluence and Snowflake.
• Proficiency in Agile methodologies with tools like Jira or Confluence

Preferred qualifications, capabilities and skills

• Experience in Machine Learning, NLP, and LLM.
• Experience working with Digital platform and tools like Adobe Analytics is a plus

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.