Systematic Quant Developer - Python Front-Office Trading

McGregor Boyall; Greater London; Presencial; GBP 100.000 - 150.000; Jornada completa

Descripción de la vacante

McGregor Boyall is seeking a Python Quant Developer in London to join a front-office engineering team supporting systematic equities and credit strategies. You will build production Python applications, data pipelines and tooling, collaborating with researchers and traders to translate research into robust software and production-ready systems.

You will take ownership of applications across their lifecycle, addressing performance, data quality and reliability while implementing scalable

Formación

• Strong Python development experience in financial markets.
• Experience building production-quality software with maintainable code.
• Familiarity with NumPy, Pandas and SciPy.
• Understanding of equities markets; credit experience is a plus.

Responsabilidades

• Develop and maintain production Python applications, research tooling and data pipelines used by researchers and traders.
• Translate research requirements into reliable, scalable software with investment teams.
• Take ownership of applications throughout their lifecycle: development, testing, deployment and improvements.
• Address engineering challenges around performance, data quality and reliability.

Conocimientos

Python development

Production-quality software

NumPy

Pandas

SciPy

Equities & credit markets knowledge

Herramientas

NumPy

Pandas

SciPy

Descripción del empleo

McGregor Boyall is seeking a Python Quant Developer in London to join a front-office engineering team supporting systematic equities and credit strategies. You will build production Python applications, data pipelines and tooling, collaborating with researchers and traders to translate research into robust software and production-ready systems.

You will take ownership of applications across their lifecycle, addressing performance, data quality and reliability while implementing scalable