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- Tasks: Join our London team as a Quantitative Analyst, enhancing tech and quantitative processes.
- Company: Be part of a dynamic investment team focused on innovation and technology.
- Benefits: Enjoy flexitime, gym membership, health programs, and work-from-home options.
- Why this job: Dive into exciting projects that impact financial markets while collaborating with experts.
- Qualifications: Proven Python skills and a passion for finance and technology are essential.
- Other info: Competitive salary with bonuses and a hybrid work schedule.
The predicted salary is between 33600 - 63000 £ per year.
We are looking for a talented Quantitative Analyst to join our London-based investment team. In this role, you will work closely with our portfolio managers to develop and enhance technology infrastructures and quantitative processes for the team.
Key responsibilities:
- Develop new quantitative tools and processes in the areas of data management, back-testing strategies, pre-trade analysis, risk management and post-trade analysis.
- Optimize and enhance our existing technology stack, frameworks, and quantitative processes.
- Manage day-to-day requests and ad-hoc projects utilizing quantitative techniques.
Required skills & experience:
- Proven experience of Python programming.
- Ability to design and build large scale frameworks and processes, in addition to delivering short-term and rapid response items.
- Prior experience with web-based application development is a plus.
- Knowledge on financial mathematics.
- Probability and statistics theory.
- Derivatives pricing and risk calculation.
- Strong interest in technology, programming, and financial markets, with special emphasis on fixed income and derivative products.
Job Type: Full-time
Pay: £56,000.00-£105,000.00 per year
Additional pay:
- Bonus scheme
- Performance bonus
- Yearly bonus
Benefits:
- Enhanced maternity leave
- Enhanced paternity leave
- Flexitime
- Gym membership
- Health & wellbeing programme
- Life insurance
- Private dental insurance
- Private medical insurance
- Sick pay
- Work from home
Schedule:
- Monday to Friday
Work Location: Hybrid remote in London
Reference ID: M7-QA-001A
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Quantitative Analyst employer: M7 Partners
Contact Detail:
M7 Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative analysis and financial markets. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your Python programming skills by working on personal projects or contributing to open-source projects. This practical experience can set you apart and demonstrate your ability to develop quantitative tools.
✨Tip Number 3
Network with professionals in the finance and technology sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 4
Prepare to discuss specific quantitative techniques and frameworks you've worked with in the past. Being able to articulate your experience with data management, risk calculation, and derivatives pricing will be crucial in the interview process.
We think you need these skills to ace Quantitative Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python programming and any relevant quantitative analysis projects. Emphasize your skills in financial mathematics, probability, and statistics, as well as any web-based application development experience.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of developing quantitative tools and processes, and mention specific examples of past projects that demonstrate your capabilities.
Showcase Relevant Projects: If you have worked on any projects related to data management, back-testing strategies, or risk management, be sure to include these in your application. Highlight your contributions and the technologies you used to achieve results.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of derivatives pricing, risk calculation, and any quantitative techniques you've applied in previous roles.
How to prepare for a job interview at M7 Partners
✨Showcase Your Python Skills
Since proven experience in Python programming is a must, be prepared to discuss your past projects. Bring examples of how you've used Python to develop quantitative tools or processes, and if possible, demonstrate your coding skills during the interview.
✨Understand Financial Mathematics
Brush up on your knowledge of financial mathematics, probability, and statistics theory. Be ready to explain concepts like derivatives pricing and risk calculation, as these are crucial for the role and will likely come up in technical questions.
✨Discuss Your Technology Stack Experience
Talk about your experience with technology infrastructures and frameworks. Highlight any previous work where you optimized existing systems or developed new ones, especially in relation to data management and back-testing strategies.
✨Express Your Interest in Financial Markets
Demonstrate your passion for financial markets, particularly fixed income and derivative products. Share insights or recent trends you've noticed in the market, showing that you stay informed and engaged with the industry.
