Data Scientist (Customer Analytics) - Associate

Posted 2 Days Ago
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Bengaluru, Karnataka
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Data Scientist in Customer Analytics is responsible for delivering analytical projects focused on understanding customer needs. They will develop segmentation frameworks, conduct strategic analyses, build dashboards, and synthesize findings for executives. The role requires collaboration with internal partners and involves advanced data analytics and machine learning techniques.
Summary Generated by Built In

Job Description
Become an integral part of our Customer Analytics team! Each day will be unique - bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.
Job Summary
As a Customer Analytics at JPMorgan Chase within the Consumer & Community Banking- Data and Analytics, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job Responsibilities:

  • Plan, execute, and deliver customer-centric analytical projects, including:
    • Develop a segmentation framework with varying levels of granularity to deeply understand customers at scale.
    • Identify attributes that describe customers' financial needs and behaviors.
    • Create data assets that define and describe customer archetypes, such as market share, engagement, and performance.
    • Conduct strategic analyses for various segment-focused use cases, including marketing, servicing, and personalization.
    • Design segment-level dashboards to inform executives on critical KPIs.
  • Become a trusted partner and thought leader in customer data and data science & analytics techniques.
  • Establish and manage relationships with internal partners effectively. Deliver rapid and scalable solutions that generate high-quality output.
  • Invent creative and innovative methods to answer key business questions by leveraging existing data assets or creating new ones.
  • Build expertise on customer data from all Chase lines of business.
  • Synthesize analytical findings for senior business executives in both written and verbal formats, influencing decisions that impact customers across Chase lines of business.


Required qualifications, capabilities, and skills

  • Minimum 5 years of hands on experience in data and analytics, or related consulting in consumer financial services, with a proven record of high performance.
  • Experience working with P&L data, NPV and financial modeling is a great-to-have
  • Demonstrated experience of Machine Learning and AI applications (K-means, XGB), with a record of delivering analytics that drive business value.
  • Familiarity working in cloud based environments and developing production level code to execute applications.
  • Exceptional problem solving and analysis skills, combined with the ability to synthesize and effectively communicate findings inside the D&A team and other stakeholders
  • Experience working independently as well as in teams in agile environments
  • Proven analytics skills - should have strong hands-on experience(at least 5+ years of relevant exp.) in analyzing data, extracting insights, preparing stories, recommending business the suitable solutions/strategy.
  • Demonstrated experience in Analytics and ML applications (K-means, XGB, CART, Logistic Regression).
  • Good problem solving skills, combined with the ability to synthesize and effectively communicate findings inside the D&A team and other stakeholders


Preferred qualifications, capabilities, and skills

  • SQL (advanced hands-on exp.). Experience in clustering / segmentation projects is a plus.
  • Python (at least 2 years of hands-on exp.) Tableau knowledge a plus.
  • Excel (intermediate to advanced knowledge)
  • Data Wrangling (at least 3 years of hands-on exp.)
  • Data Visualization (beginner to intermediate)
  • Experience in at least one of the following required: Credit Cards, Personal Lending, Home Lending or Deposits/Investments.


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.

Top Skills

SQL
The Company
HQ: New York, NY
289,097 Employees
Hybrid Workplace
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands.

Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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