Global Markets Quantitative Strategies Data Group 2027 Off-cycle Associate - Paris

Bank of America; Paris; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

Bank of America in Paris is offering an Off-Cycle Associate role in Quantitative Finance. You will work with the Quantitative Strategies and Data Group to develop models, apply ML/AI to market data, and design trading signals in a fast-paced trading environment.

Ideal candidates are pursuing a Bachelor’s or Master’s degree with strong analytical and programming skills, particularly Python, Java or C++. The program offers training and potential full-time opportunities starting in 2028.

Qualifications

• Excellent analytical, modelling and problem-solving abilities.
• Ability to work in a fast-paced trading environment, independently and in teams.
• Strong programming skills; Python preferred, Java/C++ valued.

Responsabilités

• Develop and enhance pricing, risk and analytics models for complex derivative products.
• Apply statistical, machine learning and AI techniques to analyse large market datasets, client interactions and trading performance.
• Partner with traders to research, design and implement quantitative trading signals and strategies.
• Build frameworks & tools to support improve trading efficiency, risk management and profitability.
• Develop and optimise electronic trading algorithms across execution and market-making workflows.
• Leverage modern AI technologies and agentic workflows to automate research, accelerate model development and enhance trading decisions

Connaissances

Analytical skills

Modelling

Problem-solving

Cross-functional teamwork

Python programming

Java/C++ knowledge

Communication skills

Formation

Mathematics/Statistics/Physics/CS/Engineering

Outils

Python

Java

C++

Description du poste

Quantitative Finance, Off-Cycle Associate

About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognising and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

The team

Quantitative Strategies and Data Group (QSDG) uses models, data, and analytics to develop and deliver impactful solutions to sales and trading teams across Global Markets. We collaborate across business lines and are guided by the highest standards of governance, ethics and scientific rigor.

Programme Overview

Our off-cycle internship programme is designed to offer you an opportunity to apply your quantitative skills in an exciting and fast-moving environment. You will gain first‑hand experience of kinds of problems the trading business faces, and the vital role analytical skills play in solving them.

Training and Development

Your training and development is our top priority with extensive formal training offered at the start of the programme in addition to on the job support, educational speaker events and mentorship throughout.

Responsibilities

• Develop and enhance pricing, risk and analytics models for complex derivative products.
• Apply statistical, machine learning and AI techniques to analyse large market datasets, client interactions and trading performance.
• Partner with traders to research, design and implement quantitative trading signals and strategies used in electronic and systematic hedging.
• Build frameworks & tools to support improve trading efficiency, risk management and profitability.
• Develop and optimise electronic trading algorithms across execution and market-making workflows.
• Leverage modern AI technologies and agentic workflows to automate research, accelerate model development and enhance trading decisions

Eligibility

• Candidates are required to be pursuing a Bachelor’s or Master’s degree from an accredited college or university with a completion time frame between September 2027 and July 2028. Completion means that you have completed all final exams, coursework, and have no outstanding requirements for graduation. Please note that we reserve the right to request evidence of this completion date before extending an offer.
• On track for a minimum 2:1 degree classification (or equivalent)

Candidates who perform well during the internship may be offered full time employment to commence in July 2028; some lines of business may also offer the opportunity of a January or April start date. You must be available to join on one of these start dates if offered, unfortunately we are unable to offer deferrals.

Essential

• Must have excellent analytical, modelling and problem-solving skills.
• Ability to work effectively in a fast-paced trading environment, both independently and as part of cross-functional teams.
• Excellent communication skills with the ability to explain complex quantitative concepts to both technical and non-technical audiences.
• Strong programming skills. Python is strongly preferred; experience with Java/C++ is also valued.
• Degree choices in mathematics, statistics, physics, computer science, engineering or a related quantitative discipline.

Desired

• Experience with numerical methods, stochastic modelling and computational finance techniques.
• Knowledge of financial markets, trading workflows and derivative products across one or more asset classes.
• Solid understanding of derivatives modelling, option pricing theory and risk management concepts.
• Experience applying machine learning, AI or advanced statistical techniques to real-world quantitative or financial problems.

Our recruitment process

We care deeply about shaping the world of work to be an equal and inclusive one - and that starts with our recruitment process. We know just how important and valuable it is to have a wide range of skills, backgrounds and experiences shaping our work and ideas. We welcome applicants from all backgrounds, and we are proud to focus on attracting, retaining and developing diverse talent within Bank of America. Together, we aim to mirror the customers, clients and communities we serve.

We are an equal opportunities employer, and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity or gender reassignment, marital or civil partner status, race, religion or belief, colour, nationality, ethnic or national origins, age, sexual orientation, being pregnant or on maternity leave, socio-economic background, responsibilities for dependants, physical or mental disability. The Bank selects candidates for interview based on their skills, qualifications and experience.

What if I need workplace adjustments?

We are committed to ensuring our online application process provides an equal employment opportunity to all job seekers. If you need a workplace adjustment to search for a job opening, need help completing your application or video interview, please email [e-mail] and let us know. We will be more than happy to discuss the support you need, and we will respond to your email within two business days.