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For Companies At a Glance
- Tasks: Dive into hands-on research, solving complex problems in fast-paced market settings.
- Company: Join a cutting-edge firm focused on innovative equity strategies and quantitative analysis.
- Benefits: Enjoy competitive pay, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values curiosity and analytical thinking while making an impact.
- Qualifications: Must have 2+ years in quantitative research, with a Master's or PhD in a relevant field.
- Other info: Bonus points for experience in high-frequency trading and proficiency in Python and C++.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
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
Quantitative Researcher - Equity Strategies (Mid to High Frequency) employer: Eka Finance
Contact Detail:
Eka Finance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Equity Strategies (Mid to High Frequency)
✨Tip Number 1
Make sure to showcase your technical skills during the interview. Be prepared to discuss specific projects where you've applied Python, data science, or machine learning techniques. Highlight any challenges you faced and how you overcame them.
✨Tip Number 2
Familiarise yourself with high-frequency trading concepts and market-making strategies. Being able to discuss these topics intelligently will demonstrate your passion for the field and your readiness to contribute from day one.
✨Tip Number 3
Prepare to talk about your experience with large datasets. Think of examples where you extracted insights from noisy data, as this is crucial for the role. Showing your analytical mindset will set you apart from other candidates.
✨Tip Number 4
If you have experience with C++ or other low-level programming languages, be sure to mention it. Even if it's not a primary requirement, it can give you an edge and show your versatility as a quantitative researcher.
We think you need these skills to ace Quantitative Researcher - Equity Strategies (Mid to High Frequency)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your two years of experience in quantitative research or trading roles. Detail specific projects or tasks that showcase your technical skills and problem-solving abilities.
Showcase Your Education: Clearly state your advanced degree in a quantitative field. Mention any relevant coursework or research that aligns with the job requirements, particularly in mathematics, physics, computer science, or statistics.
Demonstrate Technical Skills: Include examples of your Python coding proficiency and any experience with data science and machine learning libraries. If you have worked with C++ or other low-level programming languages, be sure to mention this as well.
Express Your Analytical Mindset: In your application, convey your approach to problem-solving. Use specific examples to illustrate your precision, patience, and analytical mindset when tackling complex issues in dynamic market environments.
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 Analytical Thinking
Expect questions that assess your problem-solving abilities. Use specific examples from your past experiences to illustrate how you approach complex problems with precision and patience.
✨Familiarise Yourself with Market Strategies
If you have experience with high-frequency or market-making strategies, be sure to highlight this during the interview. Discuss any relevant projects or insights you've gained from working with noisy datasets.
✨Prepare for Technical Questions
Since this role requires a strong quantitative background, brush up on key concepts in mathematics, statistics, and programming. Be ready to tackle technical questions or even coding challenges that may arise during the interview.
