Job Description

We are seeking experienced AI Machine Learning (ML) experts to join our team to accelerate our efforts on applying latest AIML methods on systematic trading strategy R&D. As part of a small focused team with minimal bureaucracy, you will have great independence to pursue the research directions you think would be most impactful. You are enabled with enough computational resources, and supported by excellent data and engineering teams to realize your vision. Your work will be deployed directly into production trading with P&L responsibility. It will be challenging: this is a field with no easy or obvious solutions.

As an Associate in the Automated Trading Strategies (ATS) group, you are responsible for systematic trading across FX, Rates, Commodities, and Credit markets. You will focus on enhancing every aspect of our models, including data featurization, architecture design, training dynamics, and trading decision processes. You will be part of a rapidly expanding team, gaining a comprehensive understanding of market making and exchange trading, encompassing alpha generation, portfolio construction/optimization, and trade execution algorithms.

Job Responsibilities

Apply AIML model to find predictive pattern from large dataset
Integrate prediction model into existing strategies or setup new one
Contribute to team's AIML libraries as well as production algo system

Required Qualifications, Capabilities, And Skills

Advanced degree (Masters, PhD, or equivalent) in Machine learning, Mathematics & Statistics, Computer Sciences, Engineering or related fields.
At least 1 year experience in machine learning and deep learning research for any domain.
Relevant experience using frameworks such as PyTorch, TensorFlow and equivalent programs.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

Preferred Qualifications, Capabilities, And Skills

Strong engineering skills valued, efficiency in other languages (Java/C++/C#) beyond Python is a plus.
Finance experience is not required.

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.

Quantitative Trading and Research - AI Machine Learning Researcher - Associate