Quantitative Developer (Python)

Radley James; London; Hybrid; GBP 75,000 - 110,000; Full time

Job summary

A leading company in the finance sector is seeking a Quantitative Developer to join their London office. The role involves collaboration with quantitative researchers to develop software for trading, requiring strong Python skills and a background in maths or engineering. This opportunity offers a competitive salary, hybrid working model, and the chance to drive innovative projects in a dynamic environment.

Qualifications

• 2 or more years experience with Python.
• Knowledge of data storage, processing and analysis.
• Finance experience preferred but not essential.

Responsibilities

• Work with quantitative researchers to design and build efficient workflows for research and trading.
• Collaborate with team members to ensure global consistency in software components.
• Assume ownership of projects throughout the engineering lifecycle.

Skills

Python

Data storage

Data processing

Data analysis

Education

Masters degree or above in maths, physics, engineering or computer science

Job description

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Recruitment Expert | Specialized in Technology & Quant Trading Talent Acquisition | Driving Innovation in Global Finance

Hiring on behalf of a systematic hedge fund with an office in London looking to add a Quantitative Developer proficient in Python to their team.

As a member of their Quantitative Development team you will work directly with Quantitative Researchers to design, implement, deploy and use software for research and trading. There will be opportunity to drive cross-team initiatives with technologists and researchers across all asset classes to achieve the firms objectives.

Responsibilities -

• Work with quantitative researchers to design and build efficient and scalable workflows for research and trading
• Collaborate closely with team members and peers in technology to ensure global consistency and maximize re-use of software components
• Assume strong ownership of projects throughout their full engineering lifecycle

Qualifications -

• Masters degree or above in maths, physics, engineering or computer science
• 2 or more years experience with Python
• Knowledge of data storage, processing and analysis
• Finance experience is preferred but not essential.

Compensation for this role is highly competitive and based on experience, a hybrid working model is also in place firmwide.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Engineering

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