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- Tasks: Join a dynamic team to develop and enhance execution systems for digital asset trading.
- Company: Work with a globally recognized investment manager known for innovation and excellence.
- Benefits: Enjoy a highly competitive salary, bonuses, and benefits in a flexible work environment.
- Why this job: Make a real impact in trading while enjoying autonomy and continuous learning opportunities.
- Qualifications: 5-10 years of experience in execution systems design; expertise in Python, SQL, and Kubernetes required.
- Other info: Experience in crypto markets and Google Cloud is a plus but not essential.
The predicted salary is between 43200 - 72000 £ per year.
Quant Developer – Digital Assets
Location: London
Compensation: Highly Competitive Salary + Bonus & Benefits
Be part of a globally recognised, high-performing team at the forefront of digital asset trading. This global Investment Manager, renowned for its innovation and excellence, is seeking a Quant Developer to join their fast-paced Digital Asset Fund team.
Combining the energy of a startup with the resources of an industry leader, work in an environment that values innovation, autonomy, and continuous learning. This role offers the chance to own key technologies and make a real impact in the trading world.
About the Role:
As a Quant Developer, you will drive the research, development, and implementation of the execution systems, tackling complex engineering challenges. You'll be responsible for:
- Building and maintaining execution infrastructure.
- Enhancing algorithms, diagnosing performance issues, and designing new strategies in real time.
- Owning backend technology and collaborating closely with traders and engineers.
- Working in a 24/7 trading environment, with flexibility to handle unexpected needs in a fast-paced, high-impact role.
Key Responsibilities:
- Lead the research, design, and implementation of low to mid-frequency execution systems.
- Develop and optimize execution algorithms, focusing on market impact in low-liquidity environments.
- Build infrastructure, monitor system performance, and troubleshoot challenges as they arise.
- Collaborate with global teams, working closely with traders, engineers, and stakeholders to deliver top-tier performance.
What you should offer:
- 5 – 10 years of experience in designing execution systems, with a full stack mindset and ownership of your work.
- Experience in discretionary trading environments, such as hedge funds or boutique prop trading firms.
- Expertise in Python, SQL, Kubernetes, Redis, and similar technologies.
- A strong understanding of market impact, execution metrics, and algorithmic performance.
- Experience with exchange APIs and market data connections.
- The ability to write clean, production-quality code with modular design.
- Crypto market experience and familiarity with Google Cloud would be a nice to have but is not essential
Quantitative Developer employer: NP Group
Contact Detail:
NP Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Familiarize yourself with the latest trends in digital asset trading and execution systems. Being knowledgeable about current market dynamics and technological advancements will help you stand out during discussions with our team.
✨Tip Number 2
Showcase your experience with low to mid-frequency execution systems by preparing examples of past projects. Be ready to discuss specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 3
Highlight your collaborative experiences, especially in fast-paced environments. We value teamwork, so sharing instances where you worked closely with traders or engineers will resonate well with us.
✨Tip Number 4
If you have any experience with crypto markets or cloud technologies like Google Cloud, make sure to mention it. Even though it's not essential, it could give you an edge over other candidates.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Quant Developer position. Highlight your experience in designing execution systems and your familiarity with technologies like Python, SQL, and Kubernetes.
Tailor Your CV: Customize your CV to reflect your relevant experience in discretionary trading environments and your expertise in algorithmic performance. Use specific examples that demonstrate your ability to tackle complex engineering challenges.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for digital assets and your understanding of market impact. Discuss how your skills align with the company's innovative approach and how you can contribute to their fast-paced environment.
Highlight Collaboration Skills: Emphasize your ability to work closely with traders and engineers. Provide examples of past collaborations that led to successful outcomes, showcasing your teamwork and communication skills in a high-impact role.
How to prepare for a job interview at NP Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and other relevant technologies. Highlight specific projects where you designed execution systems or optimized algorithms, as this will demonstrate your hands-on expertise.
✨Understand the Trading Environment
Familiarize yourself with the nuances of low to mid-frequency trading and how execution systems operate in these environments. Being able to discuss market impact and execution metrics will show that you understand the core responsibilities of the role.
✨Demonstrate Collaboration Skills
Since the role involves working closely with traders and engineers, be ready to share examples of how you've successfully collaborated in past roles. Emphasize your ability to communicate complex technical concepts to non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice articulating your thought process when diagnosing performance issues or troubleshooting system challenges, as this will showcase your analytical skills and problem-solving abilities.
