Quant Analytics Manager

Next Frontier Capital; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Quantitative Analytics Manager to guide strategic decisions, lead deep-dive analyses, and manage the campaign management lifecycle with advanced analytics for growth and optimization.

You will collaborate with stakeholders to design, develop, implement, and track data-driven initiatives, including modeling, forecasting, and portfolio performance analysis.

Qualifications

• PhD or Master’s degree in a quantitative field or Bachelor’s with 10+ years experience.
• Strong collaboration and ability to influence partners.
• Forecasting, planning and business strategy exposure.
• Hands-on data mining and analytic methods.
• Proficiency in Python, SAS, R and Big Data tech (Snowflake, Databricks).
• Advanced analytics, statistics, ML, experimentation and quasi-experiments.
• Consulting mindset with cross-functional influence.
• Ability to leverage AI tools to accelerate delivery.

Responsibilities

• Provide thought leadership in advanced analytics including ML, forecasting and optimization.
• Manage and analyze large, multi-source datasets for actionable insights.
• Identify data/process improvements and connect findings to business processes.
• Own program management, processes and stakeholder communications.
• Coach and mentor junior team members to build analytics capability.
• Serve as SME for data-driven decision making and opportunity identification.
• Partner with stakeholders to solve business problems and optimize performance.
• Align with data owners for effective data product landing.
• Contribute to an inclusive team culture.
• Demonstrate ability to incorporate diverse perspectives and drive adoption of recommendations.

Skills

Predictive modeling

Machine learning

Statistical forecasting

Data mining

Python

R

Snowflake

Databricks

Stakeholder communication

Mentoring

Education

PhD or Master’s in quantitative field

Bachelor’s +10+ years experience

Tools

Python

SAS

R

Snowflake

Databricks

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.

As a Quantitative Analytics Manager 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 will drive the campaign management lifecycle, including targeting, sizing, business case development, modeling, list execution, reporting, ad-hoc deep dives, test design and analysis, financial assessments, forecasting, and portfolio performance analysis. This role partners directly with business stakeholders to design, develop, implement, and track strategic lead and outreach initiatives, leveraging advanced analytics to deliver actionable insights and optimize business outcomes.

Job responsibilities

• Provide thought leadership and technical expertise in advanced analytics, including predictive modeling, clustering, machine learning, statistical forecasting, optimization, and simulation techniques.
• Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights.
• Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes.
• Own program management, process development, and key stakeholder communications with limited oversight.
• Coach and mentor junior team members, fostering a collaborative and high-performance analytics culture.
• Serve as a subject matter expert for data-driven decision-making and opportunity identification.
• Partner with stakeholders to solve business problems, optimize performance, and shift business and product strategy.
• Align with data owners to reassure landing of effective data products.
• Contribute to a friendly, inclusive, and appreciative team culture.
• Demonstrated ability to incorporate diverse perspectives and drive adoption of recommendations.

Required qualifications, capabilities, and skills

• PhD or Master’s degree in a quantitative field (e.g., Computer Science, Operational Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline), or Bachelor’s degree with 10 + years of relevant experience.
• Exceptional interpersonal and collaboration skills; ability to explain complex mathematical concepts and influence business partners.
• Exposure to forecasting, planning, and business strategy functions.
• Hands-on experience with data mining, analytical methods, and business strategy implementation.
• Proficiency in data analysis languages (Python, SAS, R, etc.) and Big Data technologies (Snowflake, Databricks).
• Advanced analytics, interpretive, and problem-solving skills.
• Knowledge of advanced analytics, inferential statistics, machine learning, experimentation, and quasi-experimentation.
• Consulting orientation and ability to influence internal and external stakeholders.
• Comfort leveraging AI tools to reduce time spent on repetitive tasks and accelerate delivery.

Preferred qualifications, capabilities, and skills

• Experience mentoring junior colleagues and building durable team practices and playbooks.
• Experience in data-driven storytelling to support strategic growth initiatives
• Proven ability to build strong partnerships with cross-functional teams
• Experience with Adobe Analytics.
• Experience supporting Service Center business and/or analytics use cases.

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.

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.

We have an exciting opportunity for you to enhance your career by joining Consumer & Community Banking - Data & Analytics team