Quantitative Developer - Trading Pod
Quantitative Developer - Trading Pod

Quantitative Developer - Trading Pod

Full-Time 48000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic trading pod to design and maintain high-performance trading systems.
  • Company: Work with a top-tier trading firm known for its innovative strategies.
  • Benefits: Enjoy competitive compensation and the chance to work in London or New York.
  • Why this job: Gain invaluable experience alongside a respected portfolio manager in a fast-paced environment.
  • Qualifications: 2-5 years in quantitative development; proficiency in Python, C++, or Java required.
  • Other info: This role is perfect for those passionate about quantitative trading and technology.

The predicted salary is between 48000 - 84000 £ per year.

Campbell North are currently working with a tier one trading firm, who are looking to hire a Quantitative Developer into a small but well-established systematic trading pod, working under a highly respected PM. The role will cover all elements related to the design, development, and maintenance of high-performance trading systems and infrastructure to support systematic trading strategies.

Requirements:

  • 2 to 5 years of professional experience
  • Previous experience working as a Quant Dev or Software Engineer in a quantitative trading environment
  • Proficiency with at least one of the following programming languages: Python, C++ or Java

As well as a strong compensation, the role offers invaluable experience working alongside a recognized, successful portfolio manager. The role can be based in London or New York. Please apply if you meet ALL the requirements listed.

Quantitative Developer - Trading Pod employer: Campbell North

Joining this tier one trading firm as a Quantitative Developer in either London or New York offers an exceptional opportunity to thrive in a dynamic and innovative work environment. With a strong emphasis on employee growth, you will benefit from invaluable mentorship under a highly respected portfolio manager, while enjoying a competitive compensation package and a collaborative culture that fosters creativity and excellence in systematic trading.
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Contact Detail:

Campbell North Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Quantitative Developer - Trading Pod

✨Tip Number 1

Network with professionals in the quantitative trading field. Attend industry meetups, webinars, or conferences to connect with people who work at tier one trading firms. This can help you gain insights into the company culture and potentially get a referral.

✨Tip Number 2

Brush up on your programming skills, especially in Python, C++, or Java. Consider working on personal projects or contributing to open-source projects that showcase your ability to develop high-performance trading systems.

✨Tip Number 3

Familiarise yourself with systematic trading strategies and the specific technologies used in the industry. Understanding the latest trends and tools can give you an edge during interviews and discussions with potential employers.

✨Tip Number 4

Prepare for technical interviews by practising coding challenges and algorithm questions relevant to quantitative development. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills.

We think you need these skills to ace Quantitative Developer - Trading Pod

Proficiency in Python, C++ or Java
Experience in quantitative trading environments
High-performance computing
Algorithm development
Data structures and algorithms
Statistical analysis
Software development lifecycle
Version control systems (e.g., Git)
Problem-solving skills
Attention to detail
Collaboration and teamwork
Understanding of financial markets
Performance optimisation
Debugging and troubleshooting

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience as a Quantitative Developer or Software Engineer in a quantitative trading environment. Emphasise your proficiency in Python, C++, or Java, and any relevant projects you've worked on.

Craft a Strong Cover Letter: Write a cover letter that specifically addresses the role at Campbell North. Mention your years of experience, your familiarity with high-performance trading systems, and why you are excited about the opportunity to work under a respected PM.

Showcase Relevant Projects: If you have worked on specific projects related to systematic trading strategies, include them in your application. Describe your role, the technologies used, and the impact of your contributions.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects attention to detail, which is crucial in a quantitative trading environment.

How to prepare for a job interview at Campbell North

✨Brush Up on Your Programming Skills

Make sure you're comfortable with Python, C++, or Java, as these are crucial for the role. Be prepared to discuss your previous projects and how you applied these languages in a quantitative trading environment.

✨Understand Systematic Trading Strategies

Familiarise yourself with systematic trading concepts and strategies. Being able to discuss how you can contribute to the design and maintenance of trading systems will impress the interviewers.

✨Showcase Your Problem-Solving Abilities

Quantitative roles often involve complex problem-solving. Prepare examples from your past experience where you've tackled challenging issues, particularly in a trading context, to demonstrate your analytical skills.

✨Research the Firm and Its Culture

Learn about the tier one trading firm and its systematic trading pod. Understanding their values and culture will help you tailor your responses and show that you're genuinely interested in being part of their team.

Quantitative Developer - Trading Pod
Campbell North
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  • Quantitative Developer - Trading Pod

    Full-Time
    48000 - 84000 £ / year (est.)

    Application deadline: 2027-05-29

  • C

    Campbell North

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