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For Companies At a Glance
- Tasks: Dive into quantitative research and tackle complex market problems daily.
- Company: Join a cutting-edge firm focused on innovative trading strategies.
- Benefits: Enjoy flexible working options and access to top-tier resources.
- Why this job: Perfect for analytical minds eager to make an impact in finance.
- Qualifications: Requires a Master's or PhD in a quantitative field and Python expertise.
- Other info: Bonus points for experience with high-frequency trading and C++ knowledge.
The predicted salary is between 48000 - 84000 £ per year.
This is a hands-on, research-driven role suited to someone who’s both technically strong and intellectually curious, with a passion for solving intricate problems in dynamic market environments.
About You
- You have at least two years of experience in a quantitative research or trading role.
- Your background includes an advanced degree (Master’s or PhD) in a quantitative field like mathematics, physics, computer science, or statistics.
- You write clean, efficient Python code and have practical experience with data science and machine learning libraries.
- You approach problems with precision, patience, and a strong analytical mindset.
Bonus Points For
- Familiarity with high-frequency or market-making strategies.
- Experience working with vast, noisy datasets and extracting meaningful insights.
- Knowledge of C++ or other performant, low-level programming languages.
Equity Quant Researcher employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Equity Quant Researcher
✨Tip Number 1
Network with professionals in the finance and quantitative research sectors. Attend industry conferences, webinars, or local meetups to connect with people who can provide insights into the role and potentially refer you to opportunities at StudySmarter.
✨Tip Number 2
Showcase your technical skills by working on personal projects or contributing to open-source initiatives. This not only demonstrates your coding abilities in Python and C++, but also highlights your passion for quantitative research and problem-solving.
✨Tip Number 3
Stay updated on the latest trends in quantitative finance and machine learning. Follow relevant blogs, podcasts, and research papers to deepen your understanding and be prepared to discuss these topics during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm problems. Focus on areas relevant to quantitative research, such as data manipulation, statistical analysis, and optimisation techniques, to demonstrate your analytical mindset.
We think you need these skills to ace Equity Quant Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative research experience and technical skills. Emphasise your advanced degree and any relevant projects or roles that showcase your ability to solve complex problems.
Showcase Your Coding Skills: Include specific examples of your Python coding experience, particularly with data science and machine learning libraries. If you have worked with C++ or other programming languages, mention those as well.
Craft a Compelling Cover Letter: In your cover letter, express your passion for quantitative research and problem-solving in dynamic market environments. Highlight any experience with high-frequency trading or market-making strategies, if applicable.
Prepare for Technical Questions: Be ready to discuss your analytical mindset and approach to problem-solving during interviews. Prepare to explain how you've handled large datasets and extracted insights in previous roles.
How to prepare for a job interview at Eka Finance
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any data science or machine learning libraries you've used. Bring examples of your clean, efficient code and be ready to explain your thought process behind it.
✨Demonstrate Problem-Solving Abilities
Expect to face complex problems during the interview. Approach these with a clear, analytical mindset, and articulate your problem-solving strategies. Highlight any past experiences where you successfully tackled intricate challenges.
✨Discuss Your Research Experience
Since this role is research-driven, be ready to talk about your previous quantitative research or trading roles. Share specific projects you've worked on, focusing on your contributions and the outcomes.
✨Familiarise Yourself with Market Strategies
If you have experience with high-frequency or market-making strategies, make sure to mention it. Even if you don't, showing an understanding of these concepts can set you apart and demonstrate your enthusiasm for the field.
