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For Companies At a Glance
- Tasks: Develop systematic trading strategies and analyse large datasets to identify patterns.
- Company: Join a leading Hedge Fund with a global presence in major financial hubs.
- Benefits: Enjoy a market-leading salary, generous bonuses, and excellent career progression opportunities.
- Why this job: Work with experienced professionals and gain exposure to diverse trading strategies across asset classes.
- Qualifications: 2-5 years of experience in a front office role and an MSc in a technical discipline required.
- Other info: VISA sponsorship is available for suitable candidates.
The predicted salary is between 43200 - 72000 £ per year.
The client is a leading Hedge Fund with main offices in London, Paris, New York, Hong Kong and Singapore. After launching they focused on systematic strategies for cash equities. Since then, they have expanded into other asset classes including FX, Futures, Commodities and Systematic Options. They also now have teams building out into discretionary and semi-systematic trading.
As a Quantitative Researcher, key responsibilities will focus on developing systematic trading strategies. Your day to day will include analysing large datasets, identifying patterns and trends, and building signals. Once you have deployed each trading strategy you will be responsible for assessing and enhancing their performance. Outside of strategy research, you will be responsible for helping to optimise the portfolio; designing models and tools to provide yourself and the team with performance indicators.
Benefits
- Market leading base and bonus.
- Excellent scope to progress within the firm.
- Opportunity to work alongside experienced Quantitative Researchers and Traders.
- Exposure to working on various types of strategies and across a range of asset classes.
- Generous pension contribution and healthcare benefits.
What they are looking for
- Quant Analysts/Researchers with 2-5 years experience in a Front office role on a desk, whether part of a successful franchise on sell side or within a Trading team at a Hedge Fund/Prop Trading firm.
- Experience in pricing or modelling would be preferable, while alpha research and signal/strategy development would be favourable.
- Suitable applicants should hold at least an MSc degree in a technical discipline (Maths, Computer Science, and Statistics).
- VISA Sponsorship is available.
Quantitative Researcher in City of London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher in City of London
✨Tip Number 1
Familiarise yourself with the latest trends in systematic trading strategies. Read up on recent research papers and case studies that focus on cash equities, FX, and other asset classes mentioned in the job description. This will not only enhance your knowledge but also give you talking points during interviews.
✨Tip Number 2
Network with professionals already working in quantitative roles at hedge funds or trading firms. Attend industry conferences, webinars, or local meetups to connect with potential colleagues. Building these relationships can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in languages commonly used in quantitative research like Python, R, or C++. Being proficient in data analysis and modelling tools will set you apart from other candidates and demonstrate your readiness for the role.
✨Tip Number 4
Prepare to discuss your previous experience in alpha research and strategy development. Be ready to share specific examples of how you've analysed datasets, identified patterns, and improved trading strategies. This will showcase your practical knowledge and problem-solving abilities to potential employers.
We think you need these skills to ace Quantitative Researcher in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, systematic trading strategies, and any specific asset classes you've worked with. Use keywords from the job description to align your skills with what the hedge fund is looking for.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and trading. Mention specific projects or experiences that demonstrate your ability to analyse large datasets and develop trading strategies. Show how your background aligns with the firm's focus on systematic strategies.
Highlight Technical Skills: Clearly outline your technical skills, especially in programming languages (like Python or R), statistical analysis, and any modelling techniques you are proficient in. This is crucial for a role that involves building signals and optimising portfolios.
Prepare for Technical Questions: Be ready to discuss your previous work in detail, particularly any quantitative models or strategies you've developed. Prepare to explain your thought process and the outcomes of your analyses, as this will likely come up during interviews.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Skills
As a Quantitative Researcher, you'll need to demonstrate your proficiency in technical disciplines like Maths, Computer Science, and Statistics. Be prepared to discuss specific projects or experiences where you've applied these skills, especially in developing trading strategies or analysing large datasets.
✨Prepare for Case Studies
Expect to tackle case studies or practical problems during the interview. Brush up on your analytical thinking and problem-solving skills, as you may be asked to identify patterns in data or propose a systematic trading strategy based on given parameters.
✨Understand the Firm's Strategies
Research the hedge fund's focus areas, including their systematic strategies and asset classes. Being knowledgeable about their approach will not only impress the interviewers but also help you tailor your responses to align with their goals and methodologies.
✨Demonstrate Team Collaboration
Highlight your ability to work within a team, especially in a fast-paced environment like a trading desk. Share examples of how you've collaborated with others to optimise portfolio performance or enhance trading strategies, as teamwork is crucial in this role.
