Quantitative Trading & Research â Securities Services, Payments and CIB Treasury â Associate/Vi[...]

慨正橡扯; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

慨正橡扯 is seeking an Associate/Vice President in the Quantitative Trading & Research team. You will leverage AI/ML techniques to solve complex business problems within the Commercial and Investment Bank.

This role involves building scalable data architectures, automating decision-making processes, and making impactful recommendations. An advanced degree in a quantitative field and strong Python skills are essential. Join us in transforming business efficiency with statistical modeling and data analytics.

Qualifications

• Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc.
• Robust understanding of Machine Learning, Statistics, and Mathematics.
• Experience in tackling real world data science problems with Python.

Responsibilities

• Develop AI/ML‑driven analytics to support business goals.
• Build a scalable data architecture for transaction data.
• Automate manual processes to optimize decision-making.

Skills

Machine Learning

Statistics

Data Science

Python

Quantitative Analysis

Education

Advanced degree (PhD or MS) in a quantitative field

Tools

Cloud Computing

HPC environments

Job description

JOB DESCRIPTION

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting‑edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization.

Job Summary

As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business‑critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real‑world problems using your quantitative background and experience, this may be just the team for you.

Job responsibilities

• Work with business leads to develop AI/ML‑driven analytics and automation that support their business goals
• Build up a scalable data architecture to handle the large volume of transaction data
• Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management
• Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints
• Drive projects end‑to‑end, from brainstorming, prototyping, data processing, data analysis to model development
• Make real‑world, commercial recommendations through effective presentations to various stakeholders
• Leverage data visualization to communicate quantitative insights to help business decision‑making
• Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward

Required qualifications, capabilities, and skills

• Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc.
• Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application
• Experience in tackling real world data science problems, end‑to‑end from prototype to production, using Python
• Excellent communication skills (both verbal and written) and the ability to present findings to a non‑technical audience
• Passion for learning, sharing knowledge, building collaborations, and getting things done

Preferred qualifications, capabilities, and skills

• Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub
• You demonstrate hands‑on experience in solving sequential decision making problems
• Experience in applying LLMs and/or deep learning methods to solve business problems
• Experience in working with Cloud and/or HPC environments

Equal Opportunity Employment

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.