At a Glance
- Tasks: Develop and back-test innovative investment strategies and index solutions.
- Company: Join a leading financial firm with a focus on quantitative analysis.
- Benefits: Competitive pay, hybrid working, and potential for permanent position.
- Why this job: Dive into data and make an impact in the finance world.
- Qualifications: Strong quantitative skills and proficiency in Python required.
- Other info: Exciting opportunity in a dynamic, intellectually stimulating environment.
The predicted salary is between 36000 - 60000 £ per year.
My client is looking for a technically strong, quantitatively minded quantitative analyst to join their Benchmark & Indices product team on a 12-month maternity cover, with a genuine opportunity to become permanent.
In this role, you will work closely with senior product leaders to design, model and deliver systematic investment strategies and index solutions across rates, FX, money markets and commodities. This is a hands-on position for someone who loves data, quantitative modelling, and the challenge of building IP from scratch.
What You’ll Be Doing:
- Developing and back-testing new index and systematic strategy concepts
- Sourcing, validating and preparing large sets of market data
- Building models and tools in Python and Excel
- Analysing competitor indices and market trends
- Working cross-functionally with commercial teams and internal stakeholders
Requirements:
- Strong quantitative skill set and Python proficiency
- Experience in markets such as rates, FX, MM or commodities
- Background in structuring, QIS, index products or quantitative research
- Ability to communicate complex concepts clearly and concisely
- Someone who thrives in a varied, intellectually stimulating environment
Location: London (hybrid working)
Ideal candidates will be immediately available or have a short notice period to allow for handover.
Seniority level: Associate
Employment type: Contract
Job function: Finance
AVP - Quantitative Analyst in London employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AVP - Quantitative Analyst in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your quantitative skills and Python knowledge. We recommend practising common technical questions and case studies related to systematic investment strategies.
✨Tip Number 3
Showcase your passion for data and modelling during interviews. Share examples of past projects where you developed or back-tested strategies, as this will resonate with the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AVP - Quantitative Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Quantitative Analyst. Highlight your experience with Python, quantitative modelling, and any relevant market knowledge. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. We love seeing enthusiasm and a clear understanding of the position.
Showcase Your Technical Skills: Since this role involves a lot of data and modelling, be sure to showcase your technical skills prominently. Mention specific projects or tools you've used in Python and Excel that relate to developing investment strategies or indices.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Barclay Simpson
✨Know Your Numbers
As a quantitative analyst, you’ll need to demonstrate your strong numerical skills. Brush up on key concepts in quantitative modelling and be ready to discuss how you've applied these in past roles. Prepare to explain your thought process when developing and back-testing strategies.
✨Showcase Your Technical Skills
Make sure you’re comfortable with Python and Excel, as these are crucial for the role. Bring examples of models or tools you've built in the past, and be prepared to walk through your coding process. This will show your hands-on experience and technical prowess.
✨Understand the Market Landscape
Familiarise yourself with current trends in rates, FX, money markets, and commodities. Be ready to discuss competitor indices and how they influence market strategies. This knowledge will demonstrate your proactive approach and genuine interest in the field.
✨Communicate Clearly
You’ll need to convey complex concepts simply and effectively. Practice explaining your previous projects or strategies to someone without a technical background. This will help you articulate your ideas during the interview and show that you can work cross-functionally.