At a Glance
- Tasks: Develop and deploy macro/futures signals for high-frequency trading strategies.
- Company: Dynamic multi-strategy platform with a focus on innovation.
- Benefits: Competitive salary, collaborative team environment, and opportunities for professional growth.
- Other info: Confidential application process for interested candidates.
- Why this job: Join a leading team and make an impact in the fast-paced world of finance.
- Qualifications: 3+ years experience in signal production and a strong academic background.
The predicted salary is between 60000 - 80000 β¬ per year.
A tenured PM at a multi-strategy platform is seeking to bring on an experienced macro/futures researcher to his team. This will suit someone with 3+ years experience of deploying signals into production on HFT time horizons, ideally with a focus on FX or futures markets.
Please submit CV via the link or DM privately for confidential expressions of interest in the strategy/team.
Requirements:- At least 3 years experience, with an evidenced track record of producing signals for live strategies
- Experience working in time horizons of microseconds to minutes
- Top tier academic background
Quantitative Researcher - Machine Learning in City of London employer: Capital Markets Recruitment
Join a dynamic and innovative team where your expertise as a Quantitative Researcher in Machine Learning will be valued and nurtured. Our collaborative work culture fosters creativity and encourages professional growth, offering you the chance to work alongside industry leaders in a fast-paced environment. Located in a vibrant financial hub, we provide competitive benefits and unique opportunities for career advancement, making us an exceptional employer for those seeking meaningful and rewarding employment.
Contact Detail:
Capital Markets Recruitment Recruiting Team
StudySmarter Expert Adviceπ€«
We think this is how you could land Quantitative Researcher - Machine Learning in City of London
β¨Tip Number 1
Network like a pro! Reach out to professionals in the industry through LinkedIn or relevant forums. A personal connection can often get your foot in the door faster than a CV alone.
β¨Tip Number 2
Showcase your skills! Prepare a portfolio of your past projects and research. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
β¨Tip Number 3
Stay updated on industry trends! Follow key publications and thought leaders in quantitative research and machine learning. Being able to discuss current events and innovations can impress interviewers and show your passion for the field.
β¨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Quantitative Researcher - Machine Learning in City of London
Some tips for your application π«‘
Tailor Your CV:Make sure your CV highlights your experience in deploying signals into production, especially in HFT time horizons. We want to see your track record of success, so donβt hold back on showcasing your achievements!
Showcase Relevant Experience:If youβve worked with FX or futures markets, let us know! Be specific about the strategies you've developed and how they performed. This will help us understand your fit for the role.
Highlight Your Academic Background:Since weβre looking for top-tier academic credentials, make sure to include your educational qualifications prominently. If you have any relevant projects or research, mention those too!
Apply Through Our Website:We encourage you to submit your application through our website. Itβs the best way for us to receive your CV and ensures it gets to the right people quickly. Donβt miss out on this opportunity!
How to prepare for a job interview at Capital Markets Recruitment
β¨Know Your Signals
Make sure you can discuss your experience with deploying signals into production in detail. Be ready to explain the methodologies you used, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
β¨Brush Up on HFT Concepts
Since the role focuses on high-frequency trading (HFT), ensure you're familiar with the latest trends and technologies in this area. Being able to discuss recent developments or innovations in FX or futures markets will demonstrate your passion and commitment to the field.
β¨Prepare for Technical Questions
Expect technical questions that assess your understanding of machine learning algorithms and their application in trading strategies. Practise explaining complex concepts in a simple way, as this will showcase your ability to communicate effectively with both technical and non-technical team members.
β¨Showcase Your Academic Background
With a top-tier academic background being a requirement, be prepared to discuss your education and any relevant projects or research. Highlight how your academic experiences have shaped your approach to quantitative research and how they relate to the role you're applying for.