Data Associate - Private Bank Client Service Analytics

Posted 8 Days Ago
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Bengaluru, Karnataka
Hybrid
3-5 Years Experience
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
The Data Associate at J.P. Morgan's Private Bank Client Service Analytics Team will be responsible for leveraging advanced data analytics and machine learning techniques to enhance client experience, collaborate with stakeholders, develop advanced analytics solutions, drive continuous improvement, and share knowledge within the team. Required qualifications include a PhD or MS in a quantitative discipline, strong technical expertise in machine learning, analytical skills, communication skills, collaboration skills, project management abilities, proficiency in advanced tools and platforms, and programming skills in Python.
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Job Description
Job Description
The Private Bank Client Service Analytics Team at J.P. Morgan is dedicated to enhancing the client experience by leveraging advanced data analytics and machine learning techniques. Our team supports the U.S. Private Bank by providing actionable insights and data-driven solutions to improve client relationships and service delivery. We are looking for a passionate and innovative Data Scientist to join our team and help us drive excellence in client service through data analytics.
Job Responsibilities:

  • Client Insights Analysis: Leverage data from internal and external sources, including customer surveys, complaints, and feedback, to identify key opportunities for improving the client experience.
  • Collaborate with Stakeholders: Work closely with business partners, technologists, product managers, and control partners to deploy data-driven solutions into production and ensure alignment with business goals.
  • Reporting and Visualization: Prepare and distribute comprehensive reports and visualizations that summarize key insights and trends to senior leadership, providing clear and actionable recommendations.
  • Develop Advanced Analytics Solutions: Research, develop, and implement machine learning models to solve real-world problems related to client service, including natural language processing (NLP), speech analytics, and time-series predictions.
  • Drive Continuous Improvement: Identify and implement process improvements to enhance the efficiency and effectiveness of client service operations, leveraging data to drive decision-making.
  • Knowledge Sharing: Participate in the knowledge-sharing community by staying up-to-date with the latest advancements in machine learning and data analytics, and sharing insights with the team.


Required Qualifications, Skills, and Capabilities:

  • Educational Background: PhD or MS in a quantitative discipline such as Computer Science, Data Science, Mathematics, Statistics, or a related field with significant industry or research experience.
  • Technical Expertise: Strong background in machine learning and deep learning methods, with hands-on experience using toolkits such as TensorFlow, PyTorch, NumPy, Scikit-Learn, and Pandas.
  • Analytical Skills: Excellent quantitative and analytical problem-solving skills, with the ability to synthesize and interpret complex data from various sources.
  • Communication Skills: Strong written and verbal communication skills, with the ability to effectively communicate technical concepts and results to both technical and business audiences.
  • Collaboration: Proven ability to work in a highly collaborative environment, with excellent stakeholder management skills and the ability to influence and drive accountability.
  • Project Management: Ability to manage multiple concurrent projects, prioritize tasks, and deliver results in a fast-paced environment.
  • Advanced Tools: Proficiency in SQL and experience with large data sets, as well as advanced Excel and PowerPoint skills for creating compelling presentations.
  • Platform Knowledge: Experience with Snowflake and Databricks platforms.
  • Visualization Tools: Knowledge of QlikView is beneficial, but Tableau is preferred.
  • Data Preparation Tools: Experience with Alteryx.
  • Programming Skills: Proficiency in Python is mandatory, with 3-5 years of experience and the ability to function daily in Python.
  • LLM Expertise: Understanding of Large Language Models (LLMs) and the ability to use LLMs for coding and NLP tasks.


Join our team and contribute to delivering premier client service through innovative data analytics solutions at J.P. Morgan's Private Bank. Apply today to be part of a dynamic and forward-thinking team that values diversity, collaboration, and continuous learning.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

Top Skills

Python
The Company
Bengaluru, Karnataka
289,097 Employees
Hybrid Workplace

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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Hybrid Workspace

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

Typical time on-site: Flexible
Bengaluru, Karnataka
Hyderabad, Telangana
Mumbai, Maharashtra

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