Quant Analytics Analyst

JPMorgan Chase & Co.; Mumbai; On-site; INR 900,000 - 1,300,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai seeks a Quantitative Analytics Analyst to drive data-driven decisions, deliver ongoing reporting, and perform deep-dive analyses addressing emerging business challenges. You will collaborate with stakeholders to align goals and grow product performance using advanced analytics.

The role focuses on leveraging AI/LLM technologies, building analytics workflows, and translating insights into action that enhances user experience and business outcomes.

Qualifications

• Bachelor’s degree in statistics, economics, mathematics, or engineering.
• 2+ years of experience in analytics.
• Familiarity with SQL, Alteryx and Tableau.

Responsibilities

• Conduct deep-dive analyses to generate actionable insights and recommendations.
• Build applications and utilities that call LLM APIs to support analytics workflows.
• Support reporting that communicates product performance and present findings to senior leadership.
• Collaborate with cross-functional teams to inform product development.
• Formulate problem statements, size opportunities, and define success metrics.
• Identify business problems where AI/LLM solutions can add value and design solutions.

Skills

SQL

Alteryx

Tableau

Conversational AI

AI/LLM

Data storytelling

Communication skills

Analytical thinking

Education

Bachelor’s degree in statistics/economics/mathematics/engineering

Tools

SQL

Alteryx

Tableau

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 Analystwithin 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

• Conduct deep-dive analyses to generate actionable insights and recommendations, using data-driven storytelling to demonstrate value and influence product roadmap initiatives.
• Build applications and utilities that call LLM APIs to support analytics workflows
• Support reporting that communicates product performance, and present findings and recommendations to senior leadership.
• Collaborate with cross-functional PXT teams, including Product, Design, and Engineering, to inform product development.
• Serve as an analytics subject-matter expert by formulating problem statements, sizing opportunities, and defining success metrics.
• Identify business problems and opportunities where AI/LLM-based solutions can create value; design and develop solutions that improve decision-making, enhance customer experiences, and drive measurable business outcomes.

Required qualifications, capabilities, and skills

• Bachelor’s degree in statistics, economics, mathematics, or engineering with 2+ years of experience
• Familiarity with modern analytics platforms and data visualization tools, including SQL, Alteryx and Tableau.
• Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution
• Curiosity and demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects.
• Strong critical thinking and analytical skills, with attention to detail.
• Excellent written and verbal communication skills
• Ability to multitask, prioritize effectively, and demonstrate strong organizational and problem-solving skills.
• Demonstrated knowledge of analytics platforms, technical processes, and data workflows within a technical discipline.
• Strong skills in designing, developing, and operationalizing data products.

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