Head of Quantitative Engineering (London Area)
Head of Quantitative Engineering (London Area)

Head of Quantitative Engineering (London Area)

London Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the design and development of innovative quant infrastructure for trading.
  • Company: Join a billion-dollar fintech backed by top institutional players, shaping digital finance.
  • Benefits: Enjoy exceptional compensation and the freedom to shape your tech vision.
  • Why this job: Be part of an elite team driving global finance and crypto innovation with no legacy constraints.
  • Qualifications: Extensive experience in trading systems, expert Python skills, and strong leadership abilities required.
  • Other info: This is a rare opportunity in a high-growth fintech with a successful history.

The predicted salary is between 72000 - 108000 £ per year.

A billion-dollar prime brokerage fintech, backed by top institutional players, is hiring a head of quant engineering to architect the future of digital finance. This is a rare opportunity to work for a high-growth fintech with an already successful history. They need someone with industry experience in the prime ecosystem who is technically strong and can lead.

Role:

  • Own the design and development of cutting-edge infrastructure for quant strategy deployment
  • Build scalable, high-performance systems that power real-time trading and risk analytics
  • Collaborate closely with world-class quant, tech, and product teams

Experience:

  • Extensive experience building frameworks and systems for trading or research
  • Deep understanding of the prime brokerage or institutional trading ecosystem
  • Expert-level Python skills and Comp Sci fundamentals
  • Strong leadership skills

Why This Role?

  • Join an elite team at the forefront of global finance and crypto innovation
  • Greenfield build with zero legacy constraints
  • Exceptional compensation and the freedom to shape your own tech vision

Head of Quantitative Engineering (London Area) employer: Radley James

As a leading billion-dollar prime brokerage fintech in the London area, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our employees enjoy exceptional compensation packages, ample opportunities for professional growth, and the unique chance to shape the future of digital finance without the constraints of legacy systems. Join us to be part of an elite team driving advancements in global finance and crypto technology.
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Contact Detail:

Radley James Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Quantitative Engineering (London Area)

✨Tip Number 1

Network with professionals in the prime brokerage and fintech sectors. Attend industry conferences, webinars, or meetups to connect with potential colleagues and leaders who can provide insights into the company culture and expectations.

✨Tip Number 2

Showcase your technical skills by contributing to open-source projects or writing articles on platforms like Medium. This demonstrates your expertise in Python and your understanding of quantitative engineering, making you stand out to hiring managers.

✨Tip Number 3

Prepare for interviews by brushing up on your knowledge of the prime brokerage ecosystem and current trends in digital finance. Being able to discuss these topics intelligently will show your passion and commitment to the role.

✨Tip Number 4

Consider reaching out to current or former employees of the company on LinkedIn. They can provide valuable insights about the team dynamics and what the company values in a candidate, helping you tailor your approach.

We think you need these skills to ace Head of Quantitative Engineering (London Area)

Expert-level Python programming
Strong understanding of quantitative finance
Experience in building trading frameworks and systems
Knowledge of the prime brokerage ecosystem
Leadership and team management skills
Ability to design scalable, high-performance systems
Real-time trading and risk analytics expertise
Collaboration with cross-functional teams
Strong problem-solving abilities
Understanding of computer science fundamentals
Experience with cloud computing and infrastructure
Familiarity with financial regulations and compliance
Adaptability to fast-paced environments
Excellent communication skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your extensive experience in building frameworks and systems for trading or research. Emphasise your expert-level Python skills and any leadership roles you've held, as these are crucial for the Head of Quantitative Engineering position.

Craft a Compelling Cover Letter: In your cover letter, express your passion for digital finance and your understanding of the prime brokerage ecosystem. Discuss how your technical strengths and leadership abilities align with the company's vision and the role's requirements.

Showcase Relevant Projects: If you have worked on any projects related to quant strategy deployment or high-performance systems, be sure to include them in your application. Highlight your contributions and the impact these projects had on trading or risk analytics.

Prepare for Technical Questions: Given the technical nature of the role, be ready to discuss your computer science fundamentals and problem-solving approaches. Consider preparing examples that demonstrate your ability to build scalable systems and lead teams effectively.

How to prepare for a job interview at Radley James

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with Python and any frameworks you've built for trading or research. Highlight specific projects where you demonstrated your technical skills, as this role requires a deep understanding of the prime brokerage ecosystem.

✨Demonstrate Leadership Qualities

Since this position involves leading teams, be ready to share examples of how you've successfully managed and motivated teams in the past. Discuss your leadership style and how you foster collaboration among diverse groups.

✨Understand the Company’s Vision

Research the fintech's mission and recent developments in digital finance. Be prepared to articulate how your vision aligns with theirs and how you can contribute to their goals, especially in building scalable systems for real-time trading.

✨Prepare for Technical Challenges

Expect to face technical questions or challenges during the interview. Brush up on your computer science fundamentals and be ready to solve problems on the spot, demonstrating your analytical thinking and problem-solving abilities.

Head of Quantitative Engineering (London Area)
Radley James

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