Quant Developer – Rates Modeling & Front‑Office Trading

Quant Developer – Rates Modeling & Front‑Office Trading

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Referment

At a Glance

  • Tasks: Develop and enhance quantitative models for rates trading in a dynamic environment.
  • Company: Join a leading systematic proprietary trading firm in London.
  • Benefits: Competitive salary, ownership opportunities, and a chance to make a real impact.
  • Other info: Exciting career growth potential in a sophisticated trading environment.
  • Why this job: Be part of a high-calibre team at a pivotal growth stage.
  • Qualifications: 2-5 years in trading and a strong quantitative academic background.

The predicted salary is between 60000 - 80000 £ per year.

Referment is partnering with a sophisticated systematic proprietary trading business in London, looking for exceptional Quantitative Developers and Researchers with strong rates exposure. The role offers the opportunity to join a high-calibre team at a pivotal growth stage, with potential for significant ownership and impact as the business scales.

Candidates should possess 2–5 years of experience in a trading environment and a strong academic background in quantitative disciplines.

Quant Developer – Rates Modeling & Front‑Office Trading employer: Referment

Join a leading systematic proprietary trading business in London, where you will be part of a high-calibre team that values innovation and collaboration. With a strong focus on employee growth, you will have the opportunity to make a significant impact as the company scales, supported by a dynamic work culture that encourages ownership and creativity. Enjoy competitive benefits and a stimulating environment that fosters professional development in the heart of one of the world's financial capitals.

Referment

Contact Details:

Referment Recruitment Team

We think you need these skills to ace Quant Developer – Rates Modeling & Front‑Office Trading

Quantitative Analysis
Rates Exposure
Trading Environment Experience
Strong Academic Background in Quantitative Disciplines
Systematic Trading
Research Skills
Problem-Solving Skills