Quant Analytics Manager at JPMC Candidate Experience page

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modeling, Machine Learning, Data Analysis, Data Modeling, Segmentation, SQL, Python, Tableau, Alteryx, Data Extraction, Snowflake, AWS Athena, Communication, Business Case Development, KPI Monitoring, Cross-functional Leadership

Industry

Financial Services

Description

We have an exciting and rewarding opportunity to lead analytics that shape outcomes for customers and the firm. Join a collaborative team where your expertise fuels growth, mobility, and impact. As a Quant Analytics Manager within the Claims, Disputes and Fraud Operations Product Analytics team, you lead an analytics portfolio that informs product strategy and execution. You partner with finance, customer experience, design, software engineering, and product teams to translate goals into measurable outcomes. Together, we use data to improve customer journeys and operational performance. Job responsibilities Build holistic insights by integrating customer, account, digital, financial, and operational data to guide strategic decisions Develop robust business cases, size addressable populations, and estimate the impact of proposed measurement plans Analyze trends and patterns using SQL, Python, Tableau, and Alteryx to generate actionable insights Identify and map customer interactions across channels to understand journeys and eliminate friction Lead cross-functional initiatives with product, technology, and business partners to deliver impactful analytics solutions Establish and monitor key performance indicators to evaluate initiative effectiveness and inform ongoing strategy Create and deliver executive-ready presentations that translate complex analysis into clear, actionable recommendations Required qualifications, capabilities and skills Bachelor’s degree with a strong academic background 10+ years building statistical and machine learning models that integrate multiple data inputs in marketing, customer journey, operations, or finance 8+ years of hands-on experience in data analysis Demonstrated expertise in data modeling, data analysis, and segmentation techniques Proficient with business intelligence and analytics tools such as Alteryx and Tableau Self-sufficient in SQL querying and data extraction from enterprise databases and data lakes, including Snowflake and AWS Athena Strong written and verbal communication skills, including the ability to produce concise, executive-ready presentations and synthesize complex information Preferred qualifications, capabilities and skills Experience developing financial business cases Operational knowledge of consumer and community banking operations Familiarity with AWS technologies Master’s degree in a technical or quantitative field such as Mathematics, Finance, Statistics, Operations Research, or Economics 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.

Responsibilities

The manager will lead an analytics portfolio informing product strategy by integrating customer, account, digital, financial, and operational data to guide strategic decisions. Responsibilities include developing business cases, analyzing trends using tools like SQL and Python, and leading cross-functional initiatives to deliver impactful analytics solutions.