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- Tasks: Join a new trading team to build high-performance trading systems from scratch using Python, Go, and Rust.
- Company: A leading global prop shop with a strong presence in traditional and emerging markets since the 90s.
- Benefits: Enjoy remote work flexibility, competitive salary up to £300k, plus bonuses and equity.
- Why this job: Be part of an innovative team with a flat structure, collaborating closely with traders and engineers.
- Qualifications: Proven academics and a willingness to learn; experience in coding is a plus.
- Other info: Apply even if you don't meet all requirements; we value hard work and potential.
Working with a Global Prop Shop that has worked in traditional financial markets since the early 90s. They have diversified and branched out in the last decade, becoming one of the largest traders in emerging markets, such as Digital Assets.
The firm is looking to create a brand-new trading team that is looking to create a mission-critical, high-performance trading system from scratch. This will involve algorithmic development, trading system development, and low-latency coding.
Greenfield trading system buildout using Python (along with newer tech such as Go & Rust). Along with creating solutions for platform connectivity and monitoring systems. Flat structure, allowing for collaboration with traders, researchers, and software engineers within the small group, as well as elsewhere within the larger organization.
This firm has 10 worldwide offices, including one in London. This role also offers remote working flexibility, full-time.
Expect a base of up to £300k + bonus + equity.
If you are interested please get in touch: karolis@durlstonpartners.com
We encourage you to apply even if you think you may not currently fit all these requirements – so long as you have proven academics and are willing to work hard and learn, we want to hear from you.
Note: if you haven't received a reply within 3 days, your application was unfortunately not accepted.
Lead Quantitative Developer (London Area) employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
karolis@durlstonpartners.com
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Quantitative Developer (London Area)
✨Tip Number 1
Familiarise yourself with the latest technologies mentioned in the job description, such as Python, Go, and Rust. Having hands-on experience or projects showcasing your skills in these languages will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the trading and quantitative development space. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous experiences with algorithmic development and low-latency coding. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities.
✨Tip Number 4
Show enthusiasm for the firm's mission to build a new trading team from scratch. Research their approach to trading in emerging markets and be prepared to discuss how your vision aligns with theirs during any conversations.
We think you need these skills to ace Lead Quantitative Developer (London Area)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Lead Quantitative Developer. Familiarise yourself with algorithmic development, trading system development, and low-latency coding, as these are key aspects of the job.
Tailor Your CV: Highlight your relevant experience in quantitative development, particularly with Python, Go, or Rust. Include specific projects or achievements that demonstrate your skills in building trading systems or working in financial markets.
Craft a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Mention why you are interested in working on a greenfield trading system and how your background aligns with their needs.
Follow Up: If you haven't heard back within three days, consider sending a polite follow-up email to express your continued interest in the position. This shows initiative and can help keep your application top of mind.
How to prepare for a job interview at Durlston Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Go, and Rust. Highlight specific projects where you've developed trading systems or worked on algorithmic development, as this will demonstrate your capability to contribute to the new trading team.
✨Understand the Firm's Culture
Research the company's history in traditional financial markets and their recent expansion into digital assets. Understanding their mission and values will help you align your answers with what they are looking for in a candidate.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially in low-latency coding and system connectivity. Practice coding challenges and be ready to explain your thought process clearly.
✨Emphasise Collaboration Skills
Since the role involves working closely with traders, researchers, and other engineers, be sure to highlight your teamwork experiences. Share examples of how you've successfully collaborated in past projects to achieve common goals.
