Data Engineer – Hft – London

Oxford Knight; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Free breakfast, lunch and dinner

WFH flexibility

Job summary

Oxford Knight in the United Kingdom is seeking a dynamic software engineer to join a leading quant trading team, designing, writing and maintaining a complex Python infrastructure in collaboration with traders and technologists.

The role is front office, focusing on high-throughput, low-latency solutions. Financial experience is not essential; eagerness to learn and an interest in sports/sports betting are valued. Flexible with WFH in a fast-paced, collaborative culture.

Qualifications

• Excellent problem-solving skills and maintainable, extensible code.
• Strong Python and Linux knowledge; some C++ is preferable.
• Self-directed and able to own multiple projects.
• Knowledge of SQL, Redis, InfluxDB a bonus.
• Bachelor’s degree in CS/CE or equivalent.
• Interest in sports or sports betting is advantageous.

Responsibilities

• Design, write and maintain a complex Python infrastructure.
• Collaborate with traders and other technologists on front-office systems.
• Solve challenging technical problems in a high-throughput, low-latency environment.

Skills

Python

Linux

C++

SQL

Redis

InfluxDB

Sports betting interest

Education

Bachelor's degree in Computer Science or Computer Engineering (or equivalent)

Job description

The positive feel of a start-up with the benefits that come with a more established player, this leading HFT firm is looking for a dynamic software engineer to join one of their most successful quant trading teams. Collaborating extensively with traders and other technologists, you’ll design, write and maintain a complex Python infrastructure. This role is as front office as developers come within the firm without being a Quant.

The ideal candidate will be passionate about: data, development, and keen to learn about automated electronic trading. They are very keen to see people with an interest in sports / sports betting. You will be expected to solve difficult technical problems in a fast-paced and energetic environment, with a focus on processes that are robust, scalable and fault-tolerant. Most problems require high-availability, high-throughput and low-latency solutions.

The trading team see technology as a key component of their continued success and candidates will be exposed to cool, cutting-edge technologies.

Financial experience is not essential; just an eagerness to learn, and learn quickly.

Requirements

• Excellent problem-solving skills, ability to make the right engineering decisions to achieve maintainability, extensibility and debuggability
• Solid knowledge of Python and Linux (some C++ preferable)
• Self-directed; able to take ownership of several projects at once
• Knowledge of SQL, Redis, InfluxDB is a bonus
• Bachelor’s degree (or higher) in Computer Science or Computer Engineering (or equivalent)
• An interest in sports / sports betting is advantageous

• Competitive base salary + bonus; they will pay leading market rate / are flexible for the right candidate
• They’re willing to be flexible with WFH
• Collaborative and rewarding work environment and culture
• Free breakfast, lunch and dinner

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.