Applied AI & ML Data Scientist Lead - Global Investment Bank Digital (GIBD)

Posted 14 Hours Ago
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London, Greater London, England
Hybrid
Senior level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead the development and deployment of AI and machine learning systems in investment banking, focusing on advanced analytics like Recommender Systems and Time Series Forecasting. Present insights and collaborate with diverse teams to innovate and redefine investment strategies.
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Job Description
Are you ready to redefine investment banking through AI and data-driven innovation? Join the Global Investment Bank Digital (GIBD) team at JPMorgan Chase, where you'll work in a dynamic, collaborative environment that combines digital transformation with the power of a leading global investment bank. Break down traditional barriers and push the boundaries of what's possible in finance with exceptional talent.
As a member of our cross-disciplinary team, you will leverage AI and analytics to innovate investment banking approaches. You will focus on Recommender Systems, Time Series Forecasting, and Classification Systems, utilizing the latest advances in Large Language Models (LLMs) and AI technologies. Your role will involve applying diverse analytical approaches to solve complex problems in capital markets and presenting compelling insights to stakeholders.
Job Responsibilities:
- Leverage AI and analytics to disrupt and innovate investment banking tools and strategies.
- Focus on Recommender Systems, Time Series Forecasting, and Classification Systems using LLMs and AI technologies.
- Apply traditional statistical models and advanced machine learning techniques to complex capital market problems.
- Develop creative methods to analyze and derive actionable insights from unique datasets.
- Present insights to stakeholders through clear communication, visualizations, and impactful storytelling.
Required Qualifications, Capabilities, and Skills:
- Master's or PhD in Computer Science, Machine Learning, Statistics, or a related STEM field.
- Proven experience in developing and deploying production-grade machine learning systems.
- Proficient in Python and key data science libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch, PySpark).
- Solid understanding of machine learning algorithms and software engineering principles.
- Creative thinker with strong communication skills to collaborate with diverse teams.
- Self-motivated, adaptable, and passionate about learning and innovation.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with Large Language Models (LLMs) and natural language processing applications.
Why Join Us?
- Work on high-impact projects that redefine the future of investment banking.
- Collaborate with a world-class team of experts in AI, data science, and finance.
- Be part of a fast-growing, innovative environment with global reach and unmatched resources.
Apply now and help us build the AI future of investment banking.
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.

Top Skills

Python

What the Team is Saying

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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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