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- Tasks: Join a dynamic team to design and implement cutting-edge trading strategies using Rust.
- Company: Be part of a globally recognised leader in High-Frequency Prop Trading and Market Making.
- Benefits: Enjoy competitive salary, bi-annual cash bonuses, and a collaborative work environment.
- Why this job: Showcase your skills in a flat structure with significant autonomy and real impact on trading strategies.
- Qualifications: Experience in Rust coding and a strong grasp of quantitative finance concepts required.
- Other info: Ideal for tech-savvy individuals passionate about algorithmic trading and financial markets.
The predicted salary is between 43200 - 72000 £ per year.
Our client is a globally recognised name in High-Frequency Prop Trading and Market Making and known for consistent success and impressive profitability. With continued growth across the firm, they are now looking to expand their world-class Quant Development team by hiring a genuine Quant Engineer with some commercial exposure to coding in Rust.
(FYI: the base salary advertised does not include cash bonuses, paid bi-annually. Your total annual will vary but is typically 60-100% of your base salary)
THE ROLE:
The successful applicant will work within a small autonomous team that acts as a conduit between the low-level core development team and the front office quant researcher and traders across multiple trading platforms (Prop, Market Making & OTC Derivatives)
You will work closely with the hands-on Quant Dev Lead within a flat structure, enjoy significant autonomy and a particularly collaborative relationship with the front office where roles/responsibilities typically overlap. For context, it is not unusual for the Quant Dev team to design and deploy trading strategies directly, so this is a fantastic opportunity for a talent Quantitatively focused engineer to showcase their talents.
The role focuses on designing & implementing Quant Trading strategies as opposed to having more of a lower-level technical latency/performance emphasis so you will need to demonstrate a strong understanding of Systematic Quant/Algo Trading and have strong mathematical capabilities.
KEY RESPOSIBILITIES:
- Collaborating with Quant Traders & Researchers to design, implement, and test trading strategies and algorithms
- Automating the deployment and monitoring of trading strategies to ensure optimum effectiveness
- Creating tooling and infrastructure to support research and improve decision-making, such as data analytics and strategy optimization tools
- Architecting and maintaining high-performance trading systems using Rust
SKILLS / EXPERIENCE REQUIRED:
- Some demonstrable commercial experience coding in Rust
- Understanding of trading strategies such as arbitrage, market-making, or execution flow
- Solid grasp of algorithm design, data structures, and quantitative finance fundamentals including concepts like limit order books, price discovery, and microstructure dynamics
- Exposure to performance-critical systems: real-time data flows, shared memory communication, and techniques to minimize memory allocation and copying
- Degree in a technical discipline such as Computer Science, Engineering, Mathematics, or Physics (postgraduate qualification a plus)
- Prior experience in high-frequency trading or electronic markets is beneficial, but not mandatory
Quantitative Engineer Rust in Central London employer: James Joseph Associates Limited
Contact Detail:
James Joseph Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineer Rust in Central London
✨Tip Number 1
Familiarise yourself with Rust and its applications in quantitative finance. Engage in online forums or communities where you can discuss Rust coding practices, especially in the context of trading strategies. This will not only enhance your skills but also show your passion for the role.
✨Tip Number 2
Network with professionals in the high-frequency trading space. Attend industry meetups or webinars to connect with Quant Traders and Engineers. Building these relationships can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in algorithmic trading and quantitative finance. Follow relevant blogs, podcasts, or research papers that discuss new strategies and technologies. This knowledge can be a great conversation starter during interviews.
✨Tip Number 4
Prepare to discuss your understanding of trading strategies like arbitrage and market-making. Think of examples from your experience where you've applied these concepts, as this will demonstrate your practical knowledge and readiness for the role.
We think you need these skills to ace Quantitative Engineer Rust in Central London
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Engineer position. Familiarise yourself with concepts like algorithm design, trading strategies, and Rust programming to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise any commercial experience you have with Rust and your understanding of quantitative finance. Mention specific projects or roles where you've designed or implemented trading strategies, as this will demonstrate your suitability for the role.
Showcase Your Skills: Include examples of your mathematical capabilities and algorithm design skills in your application. If you have experience with performance-critical systems or real-time data flows, be sure to highlight these as they are crucial for the role.
Craft a Compelling Cover Letter: Write a tailored cover letter that connects your background to the job description. Discuss your passion for quantitative engineering and how your skills align with the company's goals. Make it clear why you're excited about the opportunity to work in a collaborative environment.
How to prepare for a job interview at James Joseph Associates Limited
✨Showcase Your Rust Skills
Make sure to highlight your experience with Rust during the interview. Be prepared to discuss specific projects where you've used Rust, focusing on how you implemented trading strategies or built performance-critical systems.
✨Understand Quantitative Trading Concepts
Brush up on your knowledge of quantitative trading strategies such as arbitrage and market-making. Be ready to explain these concepts clearly and how they relate to the role, demonstrating your understanding of algorithm design and data structures.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of performance-critical systems. Practice coding challenges in Rust and be ready to discuss your thought process while solving them.
✨Demonstrate Collaboration Skills
Since the role involves working closely with Quant Traders and Researchers, be prepared to discuss examples of past collaborative projects. Highlight how you contributed to team success and how you handle overlapping roles and responsibilities.
