At a Glance
- Tasks: Join our team to tackle complex business problems using data science and quantitative methods.
- Company: JP Morgan is a global leader in financial services, operating in 150 countries.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Be part of a cutting-edge team transforming securities services through AI and ML.
- Qualifications: Advanced degree in a quantitative field and strong technical skills required.
- Other info: Experience with LLMs and cloud environments is a plus.
The predicted salary is between 48000 - 84000 Β£ per year.
Social network you want to login/join with:
Quantitative Research β Custody & Fund Services β Analyst or Associate, London
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Client:
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
9c2c1beecc65
Job Views:
9
Posted:
13.08.2025
Expiry Date:
27.09.2025
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Job Description:
. Morgan is a leader in financial services, collaborating globally to deliver the best solutions and advice to meet our clientsβ needs, anywhere in the world. We operate in 150 countries and hold leadership positions across our businesses. We have an exceptional team of employees who work hard to do the right thing for our clients and the firm every day. This is why we are the most respected financial institution in the world and why we can offer you an outstanding career.
Job summary:
As an Associate in the QR Securities Services team, you will support the Custody and Fund Services (Securities Services) business in tackling their most technically complex business problems. You will be part of the team that is helping to transform business practices through data science and other quantitative methods, where JP Morgan is a dominant player, handling trillions of dollars of client assets.
Quantitative Research (QR) is an expert group at JPMorgan specializing in statistical modelling, data analytics, and other quantitative methods. In Securities Services, QR applies cutting-edge AI/ML techniques to fundamentally transform the way we do business in securities services.
Job responsibilities:
- Perform large-scale analysis on our proprietary dataset to solve problems never tackled before.
- Work with business leads to develop AI/ML-driven analytics and automation that support their business goals.
- Build models end-to-end, from prototype to full-scale production.
- Make real-world, commercial recommendations through effective presentations to various stakeholders.
- Leverage data visualization to communicate data insights and results.
- Document and test new/existing models in partnership with control groups.
- Work closely with colleagues in Quantitative Research, Technology, Product, Finance, and Pricing teams to drive the data strategy, pricing, and financial reporting across Securities Services.
Required Qualifications, Capabilities, and Skills:
- You have advanced degree (PhD or MS) or equivalent in a quantitative field: Mathematics, Computer Science, Physics, Engineering, etc.
- You demonstrate strong technical skills in data manipulation, extraction, and analysis.
- You demonstrate robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals and application.
- You have experience in building models end-to-end, from prototype to full-scale production, utilizing ML/big data modelling techniques.
- You possess knowledge of basic financial/derivative instruments and their pricing.
- You demonstrate a knowledge of software design principles and development skills using one of C++, Python, R, Java, Scala.
- You have strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience.
Preferred Qualifications, Capabilities, and Skills:
- You have experience in applying LLMs and/or deep learning methods to solve business problems.
- You have experience in working with Cloud and/or HPC (High Performance Computing) environments.
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Quantitative Research - Custody & Fund Services - Analyst or Associate employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Quantitative Research - Custody & Fund Services - Analyst or Associate
β¨Tip Number 1
Network with professionals in the financial services and quantitative research fields. Attend industry conferences, webinars, or local meetups to connect with people who work at JP Morgan or similar firms. This can give you insights into the company culture and potentially lead to referrals.
β¨Tip Number 2
Familiarise yourself with the latest trends in AI and machine learning as they apply to finance. Follow relevant blogs, podcasts, and publications to stay updated. This knowledge will not only help you in interviews but also demonstrate your genuine interest in the role.
β¨Tip Number 3
Prepare to discuss specific projects where you've applied quantitative methods or machine learning techniques. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will showcase your problem-solving skills and technical expertise.
β¨Tip Number 4
Practice your presentation skills, especially when it comes to explaining complex data insights to a non-technical audience. You might be asked to present your findings during the interview process, so being able to communicate effectively is crucial.
We think you need these skills to ace Quantitative Research - Custody & Fund Services - Analyst or Associate
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Emphasise your technical skills in data manipulation, machine learning, and any programming languages mentioned, such as Python or R.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the Quantitative Research position at JP Morgan. Discuss your passion for data science and how your background makes you a suitable candidate for tackling complex business problems.
Showcase Relevant Projects: Include specific examples of projects where you have applied quantitative methods or built models from prototype to production. Highlight any experience with AI/ML techniques and how they contributed to business outcomes.
Prepare for Technical Questions: Be ready to discuss your technical expertise during the application process. Brush up on your knowledge of machine learning, statistics, and financial instruments, as well as your ability to communicate complex ideas to non-technical audiences.
How to prepare for a job interview at Jpmorgan Chase & Co.
β¨Showcase Your Technical Skills
Be prepared to discuss your technical expertise in data manipulation, machine learning, and statistical analysis. Bring examples of projects where you've built models from prototype to production, as this will demonstrate your hands-on experience.
β¨Understand the Business Context
Familiarise yourself with the financial services industry, particularly in custody and fund services. Understanding how quantitative research applies to real-world business problems will help you articulate your insights effectively during the interview.
β¨Prepare for Problem-Solving Questions
Expect to tackle complex problems during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and ability to communicate effectively with non-technical stakeholders.
β¨Demonstrate Your Communication Skills
Since strong communication is key for this role, practice presenting your findings and insights in a clear and concise manner. Tailor your explanations to suit a non-technical audience, as this will highlight your ability to bridge the gap between technical and business teams.