Senior Quant Researcher

Senior Quant Researcher

London Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team in creating and improving trading strategies using data analysis.
  • Company: Join a dynamic hedge fund focused on high-frequency trading and innovative alpha generation.
  • Benefits: Enjoy a competitive salary with bonuses and the chance to work in London or the USA.
  • Why this job: Be at the forefront of trading strategy development and make a real impact in finance.
  • Qualifications: 5-10 years in high-frequency trading, strong programming skills, and a quantitative degree required.
  • Other info: Opportunity for ownership and independence in your work.

The predicted salary is between 72000 - 108000 £ per year.

Job Description

Responsibilities:

  • At least 5 years maximum 10 years of experience within high-frequency trading in equities
  • Creating new alpha signal/ alpha generation (has a track record)
  • Statistical arbitrage experience
  • Lead the research department (3 people)
  • Your missions will be to participate in the identification of new arbitrage opportunities and the improvement of existing strategies from all trading data, but also from new data sources.
  • You will take an active part in the entire chain of research and development of strategies: brainstorming, modelling, data, study of signals, backtesting, implementation of strategies in a production environment and monitoring of signal performance.

Requirements:

  • MS or Ph.D. in finance, computer science, mathematics, physics, or other quantitative disciplines
  • Researching systematic equities strategies
  • Experienced in market microstructure strategies
  • Previous trading or portfolio management experience would be beneficial
  • Experience with alpha research
  • Strong programming skills in Python
  • Strong analytical and quantitative skills
  • A hedge fund background is not a must but is preferable
  • Willing to take ownership of his/her work, working both independently

Location: UK – London or USA

Salary:  Competitive + Bonus

REFER A FRIEND

If you're interested in this opportunity, please forward your CV. Alternatively, if you would like to know more information or have a confidential discussion please contact Shanaz Rob- call on +44 (0)203 603 4474 email info@srinvestmentpartners.com

Apply now

Senior Quant Researcher employer: S.R Investment Partners

At our firm, we pride ourselves on being an exceptional employer, particularly for the role of Senior Quant Researcher in the vibrant financial hub of London or the dynamic landscape of the USA. We offer a collaborative work culture that fosters innovation and creativity, alongside competitive salaries and performance bonuses. Our commitment to employee growth is evident through continuous learning opportunities and the chance to lead a dedicated research team, making this an ideal environment for those seeking meaningful and rewarding careers in high-frequency trading.
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Contact Detail:

S.R Investment Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Quant Researcher

✨Tip Number 1

Make sure to showcase your experience in high-frequency trading and alpha signal generation during the interview. Be prepared to discuss specific strategies you've developed and their outcomes.

✨Tip Number 2

Highlight your leadership skills, especially if you have experience managing a team. Discuss how you've successfully led research projects and collaborated with others to achieve results.

✨Tip Number 3

Familiarize yourself with the latest trends in market microstructure and statistical arbitrage. Being able to discuss current developments will demonstrate your passion and knowledge in the field.

✨Tip Number 4

Prepare to talk about your programming skills in Python. Consider bringing examples of past projects or code snippets that illustrate your ability to analyze data and implement strategies effectively.

We think you need these skills to ace Senior Quant Researcher

High-Frequency Trading Expertise
Alpha Signal Generation
Statistical Arbitrage
Leadership Skills
Research and Development
Data Analysis
Backtesting Strategies
Market Microstructure Knowledge
Systematic Equities Strategies
Strong Programming Skills in Python
Analytical Skills
Quantitative Skills
Portfolio Management Experience
Ownership and Independence

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasize your 5-10 years of experience in high-frequency trading and any specific achievements in alpha signal generation. Use quantifiable results to showcase your impact.

Showcase Technical Skills: Clearly outline your programming skills, especially in Python, and any relevant statistical arbitrage experience. Mention specific projects or strategies you've worked on that demonstrate your analytical capabilities.

Tailor Your CV: Customize your CV to align with the job description. Focus on your experience in leading research teams and your ability to identify and improve arbitrage opportunities. Make it easy for the hiring team to see how you fit the role.

Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're passionate about quantitative research and how your background makes you a perfect fit for the position. Discuss your approach to strategy development and your willingness to take ownership of your work.

How to prepare for a job interview at S.R Investment Partners

✨Showcase Your Experience

Make sure to highlight your 5-10 years of experience in high-frequency trading. Be prepared to discuss specific alpha signals you've created and the impact they had on previous strategies.

✨Demonstrate Leadership Skills

As you'll be leading a research department, emphasize your leadership experience. Share examples of how you've successfully managed teams and driven projects to completion.

✨Discuss Your Analytical Approach

Be ready to explain your methodology for identifying arbitrage opportunities. Discuss how you utilize data from various sources and your process for backtesting and implementing strategies.

✨Highlight Programming Proficiency

Since strong programming skills in Python are essential, prepare to discuss your coding experience. You might even want to bring examples of your work or be ready for technical questions related to programming.

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