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FinTech Headhunter | Connecting Top Software Developers & Quant Traders with Leading Financial Institutions | Specialist @ Radley James
Python Engineer Opportunity – Leading Multi-Asset Trading Group Company Overview: Join a dynamic and industry-leading trading group that has revolutionised financial markets since its inception. Operating globally with a team of over 200 professionals, this organisation stands as the most successful
high-frequency trading (HFT)
team in the world. From their London office, the group executes across a diverse array of derivatives and cash products, employing 90% electronic and 10% discretionary fundamental trading strategies. They pride themselves on innovation, collaboration, and cutting-edge technology to maintain their competitive edge in a fast-paced market. Role Overview: Seeking talented
Python Engineers
to join the infrastructure team for one of the largest trading groups within this organisation. In this role, you will focus on building medium-frequency (MF) and low-frequency (LF) infrastructure to support a growing team of quantitative researchers. Key aspects of the role include: Developing robust
Python -based infrastructure to support trading and research functions. Collaborating with a team of industry experts to deliver
scalable solutions. Tackling algorithmic problem-solving challenges
as part of a rigorous interview process. Working from the vibrant London office, the organisation’s second-largest global location. Qualifications: Bachelors degree in Computer Science or closely related field 2–7 years of experience
in Python development, with a proven track record of building (not just maintaining) infrastructure. Professional experience with leading tech firms or organisations leveraging innovative technologies. A collaborative mindset to thrive in a high-performance, team-oriented culture. This opportunity offers a competitive compensation package and a hybrid working model. Seniority level
Associate Employment type
Full-time Job function
Finance and Engineering Industries
Financial Services and Engineering Services
#J-18808-Ljbffr
Python Engineer Opportunity – Leading Multi-Asset Trading Group Company Overview: Join a dynamic and industry-leading trading group that has revolutionised financial markets since its inception. Operating globally with a team of over 200 professionals, this organisation stands as the most successful
high-frequency trading (HFT)
team in the world. From their London office, the group executes across a diverse array of derivatives and cash products, employing 90% electronic and 10% discretionary fundamental trading strategies. They pride themselves on innovation, collaboration, and cutting-edge technology to maintain their competitive edge in a fast-paced market. Role Overview: Seeking talented
Python Engineers
to join the infrastructure team for one of the largest trading groups within this organisation. In this role, you will focus on building medium-frequency (MF) and low-frequency (LF) infrastructure to support a growing team of quantitative researchers. Key aspects of the role include: Developing robust
Python -based infrastructure to support trading and research functions. Collaborating with a team of industry experts to deliver
scalable solutions. Tackling algorithmic problem-solving challenges
as part of a rigorous interview process. Working from the vibrant London office, the organisation’s second-largest global location. Qualifications: Bachelors degree in Computer Science or closely related field 2–7 years of experience
in Python development, with a proven track record of building (not just maintaining) infrastructure. Professional experience with leading tech firms or organisations leveraging innovative technologies. A collaborative mindset to thrive in a high-performance, team-oriented culture. This opportunity offers a competitive compensation package and a hybrid working model. Seniority level
Associate Employment type
Full-time Job function
Finance and Engineering Industries
Financial Services and Engineering Services
#J-18808-Ljbffr
