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- Tasks: Conduct innovative research to uncover market anomalies and develop trading strategies.
- Company: Join a leading quant shop in the heart of London or New York.
- Benefits: Enjoy competitive pay and the chance to work in a dynamic, collaborative environment.
- Why this job: Be part of a cutting-edge team that values creativity and independent research.
- Qualifications: MS or PhD in relevant fields with 3+ years in systematic alpha research required.
- Other info: Fluency in Python and experience with machine learning are highly valued.
The predicted salary is between 60000 - 84000 £ per year.
Cash Equity Quant Researcher / London/ New York – $Open
A quant shop is recruiting a mid-level quant researcher to be based either in London or New York.
Role:
- Perform rigorous and innovative research to discover systematic anomalies in the equities market.
- End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation.
- Identify and evaluate new datasets for stock return prediction.
- Maintain and improve portfolio trading in a production environment.
- Contribute to the analysis framework for scalable research.
Requirements:
- MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics.
- 3+ years of work experience in systematic alpha research in cash equities, with exposure to statistical arbitrage or alternative data research.
- Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus.
- Experience with signal blending and portfolio construction.
- Demonstrated proficiency in Python.
- Highly motivated, willing to take ownership of his/her work.
- Collaborative mindset with strong independent research abilities.
Apply:
Please send a PDF CV to
#J-18808-Ljbffr
Cash Equity Quant Researcher / London/ New York - $Open employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cash Equity Quant Researcher / London/ New York - $Open
✨Tip Number 1
Make sure to showcase your experience in systematic alpha research during the interview. Be prepared to discuss specific projects where you identified anomalies in the equities market and how you approached them.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data processing and machine learning. You might be asked to demonstrate your coding abilities or solve a problem on the spot, so practice common algorithms and data manipulation techniques.
✨Tip Number 3
Familiarize yourself with various datasets used for stock return prediction. Being able to discuss new datasets you've evaluated or worked with can set you apart from other candidates.
✨Tip Number 4
Highlight your collaborative mindset by preparing examples of how you've worked with teams in the past. Discussing your contributions to group projects can demonstrate your ability to work well in a team-oriented environment.
We think you need these skills to ace Cash Equity Quant Researcher / London/ New York - $Open
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in systematic alpha research, particularly in cash equities. Emphasize your proficiency in Python and any machine learning projects you've worked on.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for quantitative research and your ability to discover systematic anomalies in the equities market. Mention specific projects or experiences that align with the job requirements.
Highlight Relevant Skills: In your application, clearly outline your skills in data science practices, feature engineering, and portfolio construction. Provide examples of how you've applied these skills in previous roles.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial in quantitative research.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any experience you have with machine learning. Highlight specific projects where you've applied these skills, especially in the context of systematic alpha research.
✨Demonstrate Your Research Process
Explain your approach to discovering systematic anomalies in the equities market. Discuss your end-to-end development process, including alpha idea generation, data processing, and strategy backtesting.
✨Discuss Your Experience with Data
Talk about your experience in identifying and evaluating new datasets for stock return prediction. Be ready to provide examples of how you've used alternative data in your previous roles.
✨Emphasize Collaboration and Independence
Highlight your ability to work both independently and collaboratively. Share examples of how you've contributed to team projects while also taking ownership of your individual research.
