At a Glance
- Tasks: Research and implement high-frequency trading strategies while analysing large data sets.
- Company: Join LO:TECH, a dynamic startup revolutionising digital asset trading in London.
- Benefits: Competitive compensation, significant responsibility, and clear career advancement opportunities.
- Other info: Collaborative culture that values curiosity and ambition in a relaxed environment.
- Why this job: Make a real impact on innovative trading technology alongside experienced founders.
- Qualifications: Advanced degree in maths, stats, or computer science; strong programming skills required.
The predicted salary is between 60000 - 80000 £ per year.
LO:TECH is a London-based venture-backed company at the forefront of digital asset trading technology. Our goal is to catalyse expansion within the entire digital asset ecosystem by serving as a powerhouse for liquidity, spanning both centralised and decentralised trading platforms. We champion a dynamic startup atmosphere, characterised by rapid progress and immediate empowerment from the outset. Our work culture thrives on collaboration and ambition, maintaining a flat organisational structure.
The Role
We are in search of a Quantitative Researcher possessing exceptional analytical capabilities, as demonstrated by an advanced degree in mathematics, statistics, physics, computer science, engineering, or similar fields. A profound enthusiasm for systematic research and market microstructure is required. Prior experience in high frequency trading is expected and candidates who exhibit an entrepreneurial spirit and the belief that any problem, no matter its complexity, can be addressed, are highly regarded. Preference is given to individuals who are either located in, or open to self-relocating to London, valuing the benefits of an in-person work research environment among peers with similar interests. This position offers a distinct chance to play a pivotal role in the evolution of our core trading engine and market making strategy. You will collaborate intimately with the founding team on vital and intricate aspects of our operations, assuming responsibility for specific areas from the outset. The role affords ample opportunity for proactive engagement in shaping your duties, contributing to meaningful and enduring advancements within the company.
What you will work on:
- Research and implement various high frequency trading and pricing strategies
- Identify new opportunities by using statistical methods and analysing large data sets
- Contribute to state of the art research and simulation environment, improving its tracking error with real world performance
- Work closely with other researchers to develop and continuously improve upon mathematical models, and help translate ideas into code
Requirements:
- An advanced degree in mathematics, statistics, physics, computer science
- Very strong research skills and experience using sophisticated mathematical tools in different contexts
- Strong programming skills in Python
- Strong programming skills in at least one compiled language, with a preference given to Rust
- Track record of having a scientific approach to analysing real-world problems and large amounts of empirical data (3+ year experience)
- Comfortable working with Linux/Unix, AWS, Git, Docker
We will test your technical knowledge during the interview process.
We Offer:
- Very competitive compensation
- Highly ambitious, collaborative environment
- Significant responsibility from day one
- Clear path for career advancement
- Opportunity to work directly with founding team
Our Culture
At LO:TECH we value humility in pursuit of excellence. We're curious and relaxed, but don't mistake this for lack of ambition. We're building something revolutionary and expect everyone to bring their A-game. We celebrate wins without ego and learn from setbacks without blame. If you're looking for a place where your crypto obsession is considered a professional asset rather than a distraction, you've found your home.
Location: Based in our London office
Join our Team
Want to join our team? Then we'd love to hear from you!
Quantitative Researcher employer: Lo:Tech
At LO:TECH, we pride ourselves on being an exceptional employer, offering a vibrant startup culture in the heart of London that fosters collaboration and innovation. Our team members enjoy competitive compensation, significant responsibilities from day one, and a clear path for career advancement, all while working closely with experienced founders in a dynamic environment that values curiosity and ambition. Join us to turn your passion for digital assets into a meaningful career where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, conferences, or even online webinars. The more you engage with others, the better your chances of landing that dream role at LO:TECH.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best work, especially any projects related to quantitative research or high-frequency trading. This will give you an edge during interviews and demonstrate your passion for the field.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills, especially in Python and any compiled languages like Rust. We want to see you shine during the interview process, so make sure you're ready to tackle those technical questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our dynamic team at LO:TECH. Don’t miss out on this opportunity!
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical capabilities and any relevant experience in high-frequency trading. We want to see how your advanced degree and programming skills can contribute to our innovative environment.
Tailor Your Application:Don’t just send a generic CV and cover letter! Tailor your application to reflect our dynamic startup culture and the specific role of Quantitative Researcher. Show us why you’re the perfect fit for LO:TECH.
Be Yourself:We value authenticity, so let your personality shine through in your application. Share your enthusiasm for systematic research and market microstructure, and don’t hesitate to express your entrepreneurial spirit!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the quickest way for us to see your application and get you on the path to joining our ambitious team in London!
How to prepare for a job interview at Lo:Tech
✨Know Your Numbers
As a Quantitative Researcher, you'll need to demonstrate your analytical prowess. Brush up on key statistical concepts and be ready to discuss how you've applied them in real-world scenarios. Prepare to explain your thought process when tackling complex problems.
✨Showcase Your Coding Skills
Since strong programming skills in Python and at least one compiled language are essential, make sure you can talk about your coding experience confidently. Consider bringing examples of your work or even a small project that highlights your ability to translate mathematical models into code.
✨Understand the Market Landscape
Familiarise yourself with current trends in high-frequency trading and market microstructure. Be prepared to discuss how these trends could impact LO:TECH's strategies. Showing that you’re not just knowledgeable but also passionate about the digital asset ecosystem will set you apart.
✨Embrace Collaboration
LO:TECH values a collaborative environment, so be ready to share examples of how you've worked effectively in teams. Highlight your entrepreneurial spirit and willingness to take initiative, as this aligns with their culture of empowerment and innovation.
