Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyze data to drive investment banking innovation and support client success.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
- Benefits: Collaborate with top professionals and contribute to high-profile deals in a dynamic environment.
- Why this job: Be at the forefront of data-driven solutions in finance, making a real-world impact.
- Qualifications: Proficiency in Python, SQL, and data visualization tools; strong problem-solving skills required.
- Other info: Equal opportunity employer valuing diversity and inclusion; reasonable accommodations available.
The predicted salary is between 43200 - 72000 £ per year.
This job is brought to you by Jobs/Redefined, the UK’s leading over-50s age inclusive jobs board.
Job Description
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.
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’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
#J-18808-Ljbffr
Senior Associate Data Analyst - Global Investment Bank Digital (GIBD) employer: JPMorgan Chase & Co.
Contact Detail:
JPMorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Associate Data Analyst - Global Investment Bank Digital (GIBD)
✨Tip Number 1
Familiarize yourself with the latest trends in data analytics and investment banking. Understanding how AI and machine learning are being integrated into financial services will give you an edge in discussions with potential colleagues.
✨Tip Number 2
Network with professionals in the investment banking sector, especially those who work with data analytics. Attend industry events or webinars to connect with people who can provide insights and potentially refer you to opportunities.
✨Tip Number 3
Showcase your ability to build Minimum Viable Products (MVPs) by working on personal projects or contributing to open-source initiatives. This hands-on experience will demonstrate your practical skills and creativity in solving real-world problems.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive decision-making in past roles. Being able to articulate your thought process and the impact of your insights will resonate well with interviewers.
We think you need these skills to ace Senior Associate Data Analyst - Global Investment Bank Digital (GIBD)
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your proficiency in Python, SQL, and data visualization tools like Tableau or Power BI. Tailor your application to showcase how these skills align with the job requirements.
Showcase Your Experience: Include specific examples of your past work in data analytics, especially any experience related to investment banking. Highlight projects where you delivered actionable insights or built data-driven solutions.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for data-driven innovation in investment banking. Discuss how your background and skills can contribute to the GIBD team's success and mention any familiarity with financial concepts.
Prepare for Technical Questions: Be ready to discuss your technical expertise in data analytics and software engineering principles during interviews. Prepare to explain how you've used these skills to solve complex problems and deliver insights.
How to prepare for a job interview at JPMorgan Chase & Co.
✨Showcase Your Data Skills
Be prepared to discuss your proficiency in Python and data analytics libraries. Highlight specific projects where you've used tools like Pandas, NumPy, or Matplotlib to derive actionable insights.
✨Understand Financial Concepts
Familiarize yourself with key financial concepts and deal structures relevant to investment banking. This knowledge will help you engage more effectively with the interviewers and demonstrate your understanding of the industry.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Be ready to walk through your thought process on how you would analyze complex datasets and present insights that drive decision-making.
✨Demonstrate Collaboration Experience
Since the role involves working closely with bankers and AI/ML teams, share examples of past collaborations. Discuss how you contributed to team projects and how you can leverage teamwork to design tailored AI solutions.
