Quant Analytics Associate Senior

JPMorgan Chase & Co.; Bengaluru; On-site; INR 350,000 - 600,000; Full time

Job summary

JPMorgan Chase & Co. Bengaluru is seeking a Quantitative Analytics Senior Associate in the Consumer & Community Banking - Data & Analytics group to guide data-driven decisions, deliver insights, and support product performance improvements.

You will work with stakeholders to translate analytics into actionable strategies and collaborate across teams. You will manage large datasets, apply advanced analytics, and present findings to senior leaders, helping shape enterprise data strategies and

Qualifications

• Bachelor’s degree in a quantitative field with 6+ years of experience.
• Proficiency in Python or SAS with experience in Big Data platforms like Snowflake/Databricks.
• Strong SQL skills and experience with relational databases.

Responsibilities

• Manage and analyze large datasets from multiple sources to develop actionable insights.
• Apply advanced analytics to identify patterns and translate findings into business decisions.
• Communicate complex results clearly to business partners and senior leadership.
• Conduct analysis and deliver insights using modern visualization and reporting tools.
• Serve as SME for data-driven decision-making and guide analytical approaches.
• Partner with clients to optimize performance and deliver data-driven solutions.
• Contribute to data models, analytics architecture, and enterprise data strategies.
• Identify data quality issues and opportunities for process improvement.
• Execute responsibilities with autonomy and stakeholder engagement.

Skills

Python

SQL

SAS

Snowflake

Databricks

Tableau

Alteryx

AWS

Spark/EMR

Jira/Confluence

ML/NLP

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Databricks

Tableau

Alteryx

Confluence

Jira

Job description

You’ll join theConsumer & Community Banking - Data & Analytics team, a strategic partner to theConsumer & Community Bankingorganization 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 theData & Analytics team.

As aQuantitative Analytics Senior Associatewithin theConsumer & 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