Python Developer Quant

Bruin

London

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Job summary

A leading global investment bank in London is seeking a mid-senior level Python Developer to join their cross-asset strategy group. This role involves working hands-on with trading teams and developing Python-based tools to enhance market risk and PnL analysis. Successful candidates are passionate about programming, possess analytical skills, and have a strong educational background in relevant fields. This position offers a full-time engagement with the chance to work in a high-impact environment.

Qualifications

Experience in functional programming and algorithmic problem-solving.
Curiosity about financial markets.

Responsibilities

Collaborate closely with a team of developers and strategists.
Write, optimise and debug Python code.
Work with existing risk and PnL models.
Simplify and modernise legacy systems.

Skills

Proficiency in Python

Problem-solving

Analytical thinking

Strong communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Finance

Job description

This range is provided by Bruin. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Bruin

Overview

My client, a leading global investment bank, is offering a unique opportunity for a talented Python developer to join their cross-asset strategy group. This is a hands-on technical role with real impact, offering the chance to work directly on the trading floor alongside front-office teams.

Applicants do not need to come from a financial services background.

This group operates independently from the traditional IT function, building Python-based tools on the firm’s proprietary platform. These systems provide strategic insight into market risk and PnL across asset classes—and play a central role in the decision-making process across the trading business.

What You’ll Be Working On

You’ll join a key initiative focused on refactoring and redesigning the core market model code that underpins how the firm understands and manages risk and PnL. The goal is to build a cleaner, more efficient, and more transparent foundation for analysing performance across teams.

In this role, you’ll

Collaborate closely with a tight-knit team of 8 developers and strategists
Write, optimise and debug Python code on the firm’s in-house platform
Work with existing risk and PnL models, improving their performance and design
Simplify and modernise legacy systems for greater efficiency and maintainability

This is an opportunity to take on intellectually challenging work in a highly technical environment. You’ll gain first-hand exposure to financial markets and be supported in developing any domain knowledge needed along the way.

We’d like to hear from you if

You’re passionate about programming and have worked across different languages or paradigms
You’ve built a scripting language—or at least thought deeply about how you might
You enjoy functional programming and algorithmic problem-solving
You have strong mathematical intuition and are keen to apply it in a real-world context
You’re curious about financial markets and eager to grow your understanding

Ideal background

Proficiency in Python, or similar languages such as C++, Java, or Lisp
Excellent problem-solving and analytical thinking
Strong communication skills and the ability to work collaboratively
A Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, Finance, or a related field

Seniority level