Quantitative Strategist: Carbon & Environmental Markets

Barclays; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading international bank is seeking a Quantitative Strategist to join its Quantitative Analytics Group. You will play a crucial role in developing quantitative models and strategies to enhance trading decisions, with a strong focus on Commodities. Ideal candidates will have a master’s in a quantitative field and be proficient in Python and C++. The position demands strong analytical skills and the ability to handle multiple tasks in a fast-paced environment. This role will be based in Canary Wharf, London.

Qualifications

• Proven strategic QA experience in Commodities modelling.
• A master’s degree or equivalent in Financial/Applied Mathematics, Physics, Engineering.
• Strong technical skills in Python & C++ programming.
• Proven ability to work independently and manage multiple priorities in a fast-paced environment.

Responsibilities

• Develop and implement quantitative models and strategies to optimize trading decisions.
• Work closely with sales teams to identify clients' needs and develop customized solutions.
• Conduct in-depth research, data analysis, and statistical modelling.

Skills

Commodities modelling

Python programming

C++ programming

Risk management

Data analysis

Education

Master’s degree in Financial/Applied Mathematics, Physics, Engineering

Job description

A leading international bank is seeking a Quantitative Strategist to join its Quantitative Analytics Group. You will play a crucial role in developing quantitative models and strategies to enhance trading decisions, with a strong focus on Commodities. Ideal candidates will have a master’s in a quantitative field and be proficient in Python and C++. The position demands strong analytical skills and the ability to handle multiple tasks in a fast-paced environment. This role will be based in Canary Wharf, London.