Quantitative Developer

Pangea; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Pangea, a tier-one commodity trading firm in London, is seeking experienced Quantitative Developers to join a fast-growing team building innovative trading technology.

You will work closely with traders and researchers to design robust applications, leverage Python, modern web stacks, and cloud tools, and contribute to a centralized quantitative platform used across desks.

Qualifications

• Academic background in CS, Maths, Statistics, Financial Engineering, or similar.
• Strong coding skills, particularly in Python.
• Knowledge of probability and derivatives pricing.
• Experience with Angular/React and SQL/NoSQL databases.
• Understanding of CI/CD and cloud environments.
• Strong communication, problem-solving, and detail orientation.
• Commodities experience is a plus.

Responsibilities

• Design and deliver robust, scalable applications for trading, structuring, and risk.
• Partner with traders, analysts, and risk specialists to translate business needs into technical solutions.
• Contribute to a centralised quantitative platform used across multiple desks.
• Use modern tools and cloud technologies to enhance trading workflows.

Skills

Python

Angular/React

SQL/NoSQL

CI/CD

Cloud environments

Probability & derivatives pricing

Communication

Commodities experience

Education

Bachelor's degree in Computer Science, Maths, Statistics, Financial Engineering, or similar

Job description

A tier‑one commodity trading firmis seeking experiencedQuantitative Developers based in London. This is a great opportunity to work on innovative trading technology within a supportive and fast‑growing environment.

What You’ll Do:

• Design and deliver robust, scalable applications for trading, structuring, and risk.
• Partner with traders, analysts, and risk specialists to translate business needs into technical solutions.
• Contribute to a centralised quantitative platform used across multiple desks.
• Use modern tools and cloud technologies to enhance trading workflows.

What You Bring:

• Academic background in Computer Science, Maths, Statistics, Financial Engineering, or similar.
• Strong coding skills, particularly in Python.
• Knowledge of probability and derivatives pricing.
• Experience with Angular/React and SQL/NoSQL databases.
• Understanding of CI/CD and cloud environments.
• Strong communication, problem‑solving, and detail orientation.
• Commodities experience is a plus.