Rodeo
ResourcesPartnersSign in

JPMorgan Chase & Co.

Asset Management, Equity Quant Researcher, Associate

City of London
Posted 5 months ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

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.​

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Alpha Signals
Return Forecasting
Reinforcement Learning
Machine Learning
Statistical Methods
Econometric Methods
Data Science
Python
Quantitative Modeling
Portfolio Construction
Equity Markets
Communication Skills
Team Collaboration
Problem-Solving
Intellectual Curiosity

Location

City of London, England, United Kingdom

Sign up to applySee more jobs like this