Asset Management, Equity Quant Researcher, Associate
210706680
T09:02:19+00:00
London
Portfolio Management
Full time
Job Summary
As a Senior Associate in the quantitative research team, you will contribute to the research and development of alpha signals, portfolio construction methodologies, and risk models for global equity markets. The ideal candidate will have a PhD in machine learning, with a strong preference for expertise in reinforcement learning, and 0-3 years of relevant experience. You will collaborate closely with portfolio managers, technologists, and other researchers to translate research insights into actionable investment strategies.
Job Responsibilities
*Alpha Signal Development: Research and develop novel alpha signals using traditional and alternative data sources, enhancing the return forecasting models for stocks.
*Model Enhancement: Improve return forecasting models and portfolio construction frameworks for global equity markets with a focus on applying reinforcement learning and other advanced machine learning techniques.
*Data Analysis: Apply statistical, econometric, and machine learning methods to large, complex datasets to extract actionable insights.
*Research Integration: Work with technology teams to integrate research models into production systems and ensure robust implementation.
*Collaboration: Partner with portfolio managers and other stakeholders to translate quantitative research into investment decisions.
*Continuous Learning: Stay current with academic and industry developments in quantitative finance, machine learning, and data science.
Required Skills, Qualifications and Capabilities
*Education: PhD in machine learning, computer science, statistics or a related quantitative discipline. Specialization in reinforcement learning is highly desirable.
*Experience: Experience in quantitative research, data science, or a related field (industry or academic).
*Technical Skills: Strong programming skills in Python; experience with machine learning libraries.
*Quantitative Modeling: Familiarity with quantitative modeling, portfolio construction, and equity markets.
*Data Handling: Experience working with large, complex, and alternative datasets.
*Communication: Excellent verbal and written communication skills, with the ability to present complex ideas to both technical and non-technical audiences.
*Collaboration: Demonstrated ability to work effectively in a team environment.
*Initiative: Strong problem-solving skills and intellectual curiosity; ability to drive research projects independently.
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.
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.