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- Tasks: Develop Python-based analytics and models for equities trading.
- Company: Join a dynamic trading division in the heart of London.
- Benefits: Professional development, training, and hands-on experience with traders.
- Why this job: Make an impact in a fast-paced environment while enhancing your quantitative skills.
- Qualifications: Strong Python skills and a degree in Maths, Physics, or Finance.
- Other info: Collaborate with experienced quants and gain exposure to trading strategies.
We are seeking a Junior Quant Analyst to join our Equities desk. This is an exciting opportunity to work in a fast-paced front-office environment, supporting traders and developing quantitative tools for pricing, risk management, and strategy optimization.
Key Responsibilities
- Develop and maintain Python-based analytics and models for equities trading.
- Assist in building pricing tools, risk dashboards, and data-driven strategies.
- Collaborate with traders and senior quants to enhance execution and performance.
- Analyze large datasets, market microstructure, and implement statistical techniques.
Requirements
- Strong programming skills in Python (pandas, NumPy, SciPy, etc.).
- Solid understanding of equities markets and financial instruments.
- Knowledge of quantitative methods (statistics, time series, regression).
- Degree in Mathematics, Physics, Computer Science, or Finance.
- Excellent problem-solving and communication skills.
Nice to Have
- Experience with data visualization (Matplotlib, Plotly).
- Familiarity with machine learning techniques.
- Exposure to front-office environments or trading desks.
What We Offer
- Opportunity to work closely with traders and senior quants.
- Professional development and training in advanced quantitative finance.
Apply Now to avoid disappointment.
Quant Analyst employer: Huxley Associates
Contact Detail:
Huxley Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quant space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to equities or quantitative analysis. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common quant interview questions and be ready to discuss your thought process.
✨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 Quant Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and any relevant experience in equities markets. We want to see how your background aligns with the role, so don’t be shy about showcasing your projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Junior Quant Analyst position and how your skills can contribute to our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled complex problems using quantitative methods. We love seeing how you approach challenges, especially in a fast-paced environment like ours.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Huxley Associates
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, especially libraries like pandas, NumPy, and SciPy. Practise coding problems related to data analysis and quantitative methods, as you might be asked to demonstrate your skills during the interview.
✨Know Your Equities Inside Out
Familiarise yourself with equities markets and financial instruments. Be prepared to discuss recent market trends or specific stocks, as this shows your genuine interest and understanding of the field.
✨Prepare for Problem-Solving Questions
Expect questions that test your analytical and problem-solving abilities. Practise explaining your thought process clearly, as communication is key when collaborating with traders and senior quants.
✨Showcase Your Data Visualisation Knowledge
If you have experience with data visualisation tools like Matplotlib or Plotly, be ready to discuss how you've used them in past projects. This could set you apart from other candidates and demonstrate your ability to present complex data effectively.
