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- Tasks: Collaborate with traders to design and improve automated trading algorithms.
- Company: Fast-growing global firm with a friendly and informal culture.
- Benefits: Free breakfast, lunch, wellness suite, and a relaxed dress code.
- Other info: Enjoy a collaborative workspace with social events and extensive training support.
- Why this job: Make a real impact in quantitative research and trading strategies.
- Qualifications: Degree in maths, stats, engineering or physics; programming skills in Python, C++, or C#.
The predicted salary is between 36000 - 60000 £ per year.
Overview
As a Quant Researcher you will work collaboratively with traders and software developers to tackle problems fundamental pricing, algorithm design and signal generation. We will teach you the skills to develop expertise in doing quantitative research for options market making in equities, commodities and fixed income. You will complete our Global Quant Graduate training where you learn about financial markets, our platform and specific quant research field for OMM, apply your academic research abilities and learn how to perform research on real-world data of varied volume and sampling frequency across a variety of domains.
Responsibilities
- Design, evaluate and continuously improve our automated trading algorithms
- Build quantitative pricing models, for example American Option Pricing and Volatility Modelling
- Research and analyse trading data to find and test trading opportunities
Qualifications
- Academic degree in applied mathematics, statistics, engineering or physics (Bachelors, Masters or PhD)
- Relevant programming experience in at least one language (Python, C++, C#)
- The ability to solve new and unfamiliar problems quickly and creatively
- Good communication skills, being able to present the results of a research clearly
- Proactive interest in improving existing trading strategies and identifying new opportunities
- Candidates motivated for quantitative research/financial services/trading and with knowledge of financial markets
- Direct exposure to and training from expert quants and traders
Benefits
- Informal, friendly and highly rewarding culture with a relaxed dress code and frequent social events
- Fast growing global firm where your work will have a significant impact
- Extensive support network during your training programme
- Collaborative office space including free breakfast and lunch, games area, wellness suite including gym and contemplation room.
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Quant Researcher - London employer: Maven Securities Ltd
Contact Detail:
Maven Securities Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher - London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss your past projects. We want to see your problem-solving abilities in action, so practice explaining your thought process clearly.
✨Tip Number 3
Show your passion for the field! When you get the chance, share your insights on market trends or trading strategies. We love candidates who are genuinely interested in quantitative research and can bring fresh ideas to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Quant Researcher - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quant Researcher role. Highlight your academic achievements in applied mathematics or statistics, and don’t forget to showcase any relevant programming experience you have. 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 quantitative research and how your background makes you a great fit for our team. Be sure to mention any specific projects or experiences that relate to trading algorithms or data analysis.
Show Off Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can think creatively and come up with innovative solutions, so don’t hold back on sharing your thought process and results!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at Maven Securities Ltd
✨Know Your Quant Basics
Brush up on your knowledge of quantitative research, especially in areas like pricing models and algorithm design. Be ready to discuss concepts like American Option Pricing and Volatility Modelling, as these are key to the role.
✨Show Off Your Coding Skills
Make sure you can demonstrate your programming experience, particularly in Python, C++, or C#. Prepare to talk about any projects you've worked on that involved coding, and be ready for some technical questions or even a coding challenge.
✨Communicate Clearly
Since good communication skills are essential, practice explaining complex ideas in simple terms. You might be asked to present your research findings, so think about how you would convey your results effectively to both technical and non-technical audiences.
✨Be Proactive and Curious
Show your enthusiasm for improving trading strategies and finding new opportunities. Think of examples from your past experiences where you identified a problem and took the initiative to solve it. This will demonstrate your proactive mindset, which is highly valued in this role.