At a Glance
- Tasks: Join a dynamic team to design and maintain complex Python infrastructure for quant trading.
- Company: A leading HFT firm combining start-up energy with established benefits.
- Benefits: Competitive salary, flexible WFH, free meals, and a collaborative culture.
- Other info: Not suitable for fresh graduates; ideal for those eager to learn quickly.
- Why this job: Work with cutting-edge tech in a fast-paced environment while learning about automated trading.
- Qualifications: Strong Python skills, problem-solving abilities, and a passion for sports or betting are preferred.
The predicted salary is between 43200 - 72000 £ per year.
Salary: £200k + bonus
Summary
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
NB: Please do not apply if you are a fresh graduate.
Benefits
- 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.
Contact
If this sounds like you, or you would like to know more, please get in touch.
Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946
Data Engineer - HFT - London- Leading Quant Fund employer: Oxford Knight
As one of the world's leading algorithmic trading firms, we offer an exceptional work environment where innovation thrives. Our friendly and informal culture fosters collaboration across teams, allowing you to tackle complex challenges with cutting-edge technologies while enjoying a market-leading salary and generous benefits. Join us to make a significant impact in the financial sector and advance your career in a role that values your contributions and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - HFT - London- Leading Quant Fund
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oxford Knight!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - HFT - London- Leading Quant Fund at Oxford Knight.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oxford Knight.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - HFT - London- Leading Quant Fund at Oxford Knight, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer - HFT - London- Leading Quant Fund
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Oxford Knight, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oxford Knight. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oxford Knight
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oxford Knight!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.