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For Companies At a Glance
- Tasks: Lead a team to create cutting-edge risk and margin models in finance.
- Company: Join a top prime brokerage revolutionising access to global markets.
- Benefits: Enjoy competitive pay, mentorship opportunities, and a dynamic work environment.
- Why this job: Be at the forefront of finance innovation while shaping a talented team.
- Qualifications: Expertise in quantitative development and strong Python skills required.
- Other info: Based in London, this role offers a chance to influence the future of trading.
The predicted salary is between 72000 - 108000 £ per year.
I’m looking for a Lead Quantitative Developer to join a leading prime brokerage that’s reshaping access to global FX, crypto, and derivatives markets, based in their London office. This role involves leading and mentoring a team of quantitative developers and researchers to design and build high-performance risk and margin models, optimize production systems, and drive innovative R&D initiatives.
Requirements:
- Extensive expertise in quantitative development, particularly in risk and margin models for clearing and prime brokerage.
- Strong proficiency in Python, with the ability to write production-grade, efficient code.
- Proven experience leading high-performing engineering or quant development teams.
- Ability to independently conduct research, design and optimize models, and communicate complex quantitative concepts effectively.
- Deep understanding of prime brokerage services and how they influence risk and margin models.
Head of Quant Engineering employer: Radley James
Contact Detail:
Radley James Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Quant Engineering
✨Tip Number 1
Network with professionals in the finance and quantitative development sectors. Attend industry conferences, webinars, or meetups to connect with potential colleagues and learn about the latest trends in risk and margin models.
✨Tip Number 2
Showcase your leadership skills by participating in or leading projects that involve mentoring junior developers. Highlight any experience you have in guiding teams through complex quantitative challenges, as this will resonate well with our expectations for the role.
✨Tip Number 3
Stay updated on the latest advancements in Python and quantitative finance. Engage in online courses or certifications that focus on high-performance coding and risk management to demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss your past experiences with specific examples of how you've optimised production systems or developed innovative models. Being able to articulate your thought process and the impact of your work will set you apart during interviews.
We think you need these skills to ace Head of Quant Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive expertise in quantitative development, particularly in risk and margin models. Emphasise your proficiency in Python and any leadership experience you have with engineering or quant development teams.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your background aligns with the company's mission to reshape access to global FX, crypto, and derivatives markets. Mention specific projects or achievements that demonstrate your ability to lead and innovate.
Showcase Your Research Skills: Provide examples of your independent research and model design work. Highlight any innovative R&D initiatives you've led or contributed to, as this will show your capability to drive advancements in the field.
Prepare for Technical Questions: Be ready to discuss complex quantitative concepts and your approach to optimising production systems. Prepare to explain your thought process and methodologies in a clear and concise manner, as effective communication is key in this role.
How to prepare for a job interview at Radley James
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in quantitative development, especially regarding risk and margin models. Highlight specific projects where you’ve used Python to write efficient, production-grade code.
✨Demonstrate Leadership Experience
Since the role involves leading a team, share examples of how you've successfully managed and mentored teams in the past. Discuss your approach to fostering collaboration and driving performance.
✨Communicate Complex Concepts Clearly
Practice explaining complex quantitative concepts in simple terms. This will show your ability to communicate effectively with both technical and non-technical stakeholders, which is crucial for this role.
✨Understand the Industry Landscape
Research the prime brokerage services and their impact on risk and margin models. Being knowledgeable about current trends and challenges in the FX, crypto, and derivatives markets will demonstrate your commitment and insight into the industry.
