Senior Associate Data Analyst – Global Investment Bank Digital (GIBD)

LONDON, LONDON, United Kingdom

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Uncover Actionable Insights to Drive Investment Banking Innovation.

 

Are you ready to revolutionize investment banking with data-driven insights? Join the Global Investment Bank Digital (GIBD) team at JPMorgan Chase, where you'll work in a fast-paced, dynamic environment to directly contribute to deal-making and client success. Collaborate with investment bankers, data scientists, and engineers to redefine deal flow and support with AI-powered tools.

 

As a key member of our innovation hub, you will analyze diverse datasets to uncover insights that drive investment banking success. You will rapidly prototype data-driven solutions and present insights in impactful ways to support active deals and client strategies. Your role involves collaborating with bankers to design tailored AI solutions and partnering with AI/ML teams to scale your innovations.

 

Job Responsibilities:

  • Deliver actionable insights by analyzing datasets to support deals and client discussions.
  • Build quick, ad hoc Minimum Viable Products (MVPs) to demonstrate data-driven solutions.
  • Conduct contextual analysis of financial and market data within investment banking workflows.
  • Present insights clearly and visually to facilitate decision-making and deal strategies.
  • Collaborate with bankers to design data analytics and AI solutions for specific needs.
  • Partner with AI/ML teams to translate insights and prototypes into scalable solutions.

Required Qualifications, Capabilities, and Skills:

  • Proficiency in Python and data analytics libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn, PySpark).
  • Strong skills in SQL and experience with relational databases.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Understanding of data transformation, ETL processes, and large datasets.
  • Solid foundation in software engineering principles for maintainable and scalable code.
  • Strong problem-solving ability and experience identifying actionable insights from complex data.
  • Creative thinker with the ability to build innovative solutions for live deals.

Preferred Qualifications, Capabilities, and Skills:

  • Familiarity with financial concepts, markets, and deal structures (e.g., ECM, DCM, M&A).
  • Prior experience working in or closely with investment banking teams is advantageous.

Why Join Us?

  • Be at the intersection of data and finance, driving innovation in a dynamic industry.
  • Work with a world-class team of bankers, data scientists, and engineers to develop impactful solutions.
  • Deliver real-world impact by contributing to high-profile deals and client engagements.

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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Banking Data Analytics Data visualization Engineering ETL Finance Machine Learning Matplotlib MVP NumPy Pandas Power BI PySpark Python RDBMS Seaborn SQL Tableau

Region: Europe
Country: United Kingdom

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