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- Tasks: Lead research on execution strategies and collaborate on trading cost analysis.
- Company: Join a top-tier hedge fund in London with a focus on innovative trading solutions.
- Benefits: Work in a dynamic environment with opportunities for professional growth and collaboration.
- Why this job: Be part of a cutting-edge team that values curiosity and problem-solving in finance.
- Qualifications: Bachelor's degree in a quantitative field and proficiency in Python required.
- Other info: Ideal for those with 2+ years in quantitative research and a passion for high-frequency trading.
The predicted salary is between 72000 - 108000 £ per year.
A Senior Portfolio Manager at a top-tier hedge fund in London is seeking a Systematic Execution Quant Researcher to join their Equities Pod. Key Responsibilities: Lead research and development projects focused primarily on execution strategies within cash equities Collaborate with the PM on Trading Cost Analysis (TCA) to align with cost models Desired Technical Skills: Proficient in Python Hands-on experience with execution across various exchanges Experience in live trade monitoring Bachelor’s degree or higher in a quantitative discipline (e.g., Applied Mathematics, Statistics, Computer Science) from a top-tier university Strong skills in abstract reasoning and problem-solving Familiarity with reinforcement learning techniques Preferred Experience: 2+ years of quantitative research experience, specialising in systematic equities Highly Sought-After Experience: Proven background in developing, testing, and deploying high-frequency trading signals A motivated, curious, and proactive individual who thrives in a collaborative team setting If you are interested in this role, please send your CV/Resume to: -> Callan.Russell@SelbyJennings.com
Systematic Execution Quant employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Execution Quant
✨Tip Number 1
Make sure to showcase your experience with execution strategies in cash equities. Highlight any specific projects or research you've led that demonstrate your ability to analyze trading costs and develop effective execution models.
✨Tip Number 2
Familiarize yourself with the latest trends in reinforcement learning techniques, as this is a key area of interest for the role. Consider discussing any relevant projects or applications you've worked on that utilize these techniques.
✨Tip Number 3
Prepare to discuss your hands-on experience with live trade monitoring. Be ready to provide examples of how you've used data analysis to improve trading performance or reduce costs in previous roles.
✨Tip Number 4
Emphasize your collaborative skills and your ability to work within a team. Share examples of how you've successfully partnered with portfolio managers or other stakeholders to achieve common goals in quantitative research.
We think you need these skills to ace Systematic Execution Quant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research, particularly in systematic equities. Emphasize your proficiency in Python and any hands-on experience with execution across various exchanges.
Craft a Strong Cover Letter: In your cover letter, express your motivation for the role and how your background aligns with the responsibilities of a Systematic Execution Quant. Mention specific projects or experiences that demonstrate your problem-solving skills and familiarity with reinforcement learning techniques.
Highlight Relevant Experience: If you have experience in developing, testing, and deploying high-frequency trading signals, make sure to detail this in your application. Use quantifiable achievements to showcase your impact in previous roles.
Showcase Collaboration Skills: Since the role involves collaboration with the PM on Trading Cost Analysis, highlight any past experiences where you successfully worked in a team setting. This could include projects where you led research initiatives or contributed to group problem-solving.
How to prepare for a job interview at Selby Jennings
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any relevant projects you've worked on. Highlight specific examples where you've applied your skills in execution strategies or live trade monitoring.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your abstract reasoning and problem-solving skills. Practice explaining your thought process when tackling complex quantitative problems, especially those related to trading cost analysis.
✨Familiarize Yourself with Reinforcement Learning
Since familiarity with reinforcement learning techniques is desired, brush up on the basics and be ready to discuss how these techniques can be applied to systematic execution strategies.
✨Emphasize Collaboration and Curiosity
This role requires a proactive individual who thrives in a team setting. Prepare examples of past collaborative projects and demonstrate your curiosity about the field and eagerness to learn from others.
