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For Companies At a Glance
- Tasks: Develop and back-test innovative investment strategies and index solutions.
- Company: Dynamic financial firm with a focus on quantitative analysis.
- Benefits: Hybrid working, competitive salary, and potential for permanent position.
- Why this job: Join a hands-on role that challenges your data and modelling skills.
- Qualifications: Strong quantitative skills, Python proficiency, and market experience.
- Other info: Exciting opportunity to work in a stimulating environment with career growth.
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’ll 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
- Producing documentation (methodologies, specs, fact sheets)
- Working cross‑functionally with commercial teams and internal stakeholders
We’re Looking For
- 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)
Availability Ideal candidates will be immediately available or have a short notice period to allow for handover.
Quantitative Analyst - Benchmarks & Indices employer: Barclay Simpson
Contact Detail:
Barclay Simpson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Benchmarks & Indices
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in quantitative analysis or related fields. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This is your chance to demonstrate your Python proficiency and analytical prowess, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with market data, back-testing strategies, and how you've tackled complex problems in the past. Confidence is key!
✨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 and engaged with our platform.
We think you need these skills to ace Quantitative Analyst - Benchmarks & Indices
Some tips for your application 🫡
Show Off Your Quant Skills: Make sure to highlight your quantitative skills in your application. We want to see how you’ve used data and modelling in past roles, so don’t hold back on those examples!
Tailor Your Application: Take a moment to tailor your CV and cover letter to the job description. Mention your experience with Python and any relevant markets like rates or FX. It shows us you’re genuinely interested!
Keep It Clear and Concise: When writing your application, aim for clarity. We appreciate candidates who can communicate complex ideas simply. Use straightforward language and avoid jargon where possible.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Barclay Simpson
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models or strategies you've worked on. Be prepared to explain your thought process behind developing and back-testing index concepts, as this will show your technical strength.
✨Python Proficiency is Key
Since Python is a crucial part of the role, make sure you can demonstrate your coding skills. Consider preparing a small project or example that showcases your ability to build models and tools, as this will give you an edge in the interview.
✨Market Awareness
Stay updated on current trends in rates, FX, money markets, and commodities. Being able to discuss recent developments or competitor indices will show that you're not just technically skilled but also aware of the market landscape.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to work cross-functionally with various teams, so being able to convey your ideas clearly will be essential. Think about how you would present your methodologies or specs to someone without a quantitative background.
