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- Tasks: Join a dynamic team to enhance trading processes with Python-led automation and data analytics.
- Company: Leading investment bank with a focus on innovation and collaboration.
- Benefits: Competitive salary, exposure to cutting-edge technology, and career growth opportunities.
- Other info: Work directly on the trading floor with significant exposure to key stakeholders.
- Why this job: Make a real impact on trading workflows while developing your technical skills in a fast-paced environment.
- Qualifications: Strong Python skills and experience in automating workflows; ideal for quant developers or market analysts.
The predicted salary is between 50000 - 70000 £ per year.
We're supporting a leading investment bank's Prime Financing business on a desk-embedded hybrid hire. This role sits directly on the trading floor and forms part of a broader build across the bank's core prime desks: Funding, Securities Portfolio Lending (SPL), and Synthetic Prime Brokerage. The intent is to embed strong technical capability directly into the business to improve how key prime processes are run end-to-end. The role is best thought of as a desk strat / Quant Analyst (Strategist)-style profile, rather than a pure engineering, operations support, or research position.
The role:
- Desk-embedded position, working directly for the desk head and closely alongside an existing strat team
- Focus on Python-led automation and data analytics to improve:
- Funding and collateral management workflows
- Trade lifecycle visibility and portfolio analytics
- Funding counterparts and desk stakeholders
- Data and technology teams where required, while remaining desk-owned
What they're looking for:
- Strong Python developer with experience automating real, production-grade workflows
- Backgrounds that translate well include:
- Quant developers/analysts or front-office tools roles
- Market Operations or Global Markets Data Engineering / Analytics roles, where the individual has built meaningful automation and analytics rather than providing pure operational support
- Governance & controls or trading analytics profiles with genuine technical depth
What this role is not:
- Not a centralised IT or platform engineering position
- Not ML or AI research
- Not a pure market operations support role
- Not a pure trading role (though strong desk performers can build meaningful commercial exposure over time)
If you feel this role is a good fit, and something you would like to explore, apply today!
Quantitative Strategist | Prime Financing in London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Strategist | Prime Financing in London
✨Tip Number 1
Network like a pro! Get in touch with people already working in the investment banking sector, especially those in roles similar to the Quantitative Strategist. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories showcasing your Python automation and data analytics work, make sure to highlight them during interviews. This is your chance to demonstrate your technical prowess and how it can benefit the team.
✨Tip Number 3
Prepare for the desk environment! Brush up on your ability to explain complex technical concepts to non-technical stakeholders. Practise articulating your past experiences in a way that shows you can bridge the gap between tech and business.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who fit the bill. Make sure your application stands out by tailoring it to reflect your understanding of the prime financing lifecycle and how you can contribute to the team.
We think you need these skills to ace Quantitative Strategist | Prime Financing in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Quantitative Strategist role. Highlight your Python development experience and any relevant automation projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this desk-embedded role and how your background fits. Be sure to mention your understanding of prime financing processes and your desire to work closely with stakeholders.
Showcase Your Technical Skills: Since this role requires strong technical capabilities, don’t shy away from detailing your programming skills, especially in Python. If you've automated workflows or improved processes, share those examples! We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at Selby Jennings
✨Know Your Python Inside Out
Since this role heavily relies on Python for automation, make sure you brush up on your coding skills. Be prepared to discuss specific projects where you've used Python to automate workflows or improve processes. Practising coding challenges can also help you demonstrate your technical prowess.
✨Understand the Prime Financing Landscape
Familiarise yourself with key concepts in prime financing, such as funding, collateral management, and synthetic prime brokerage. This knowledge will not only help you answer questions more effectively but also show your genuine interest in the role and the business.
✨Prepare for Technical and Non-Technical Questions
You’ll need to explain complex technical concepts to non-technical stakeholders. Prepare examples of how you've successfully communicated technical information in the past. This will showcase your ability to bridge the gap between tech and business.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you approached solving them. Highlight any instances where your analytical skills led to significant improvements in processes or outcomes, especially in a trading or finance context.