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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 2+ years in quantitative roles and an advanced degree in a relevant field.
- Other info: Bonus points for experience with high-frequency trading and data science tools.
The predicted salary is between 43200 - 72000 £ 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.
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 fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and challenges in equity quant research.
✨Tip Number 2
Showcase your problem-solving skills by participating in online coding competitions or hackathons. This not only sharpens your technical abilities but also demonstrates your passion for tackling complex problems, which is crucial for this role.
✨Tip Number 3
Familiarise yourself with the latest data science and machine learning techniques relevant to finance. Consider working on personal projects that involve high-frequency trading strategies or analysing large datasets to strengthen your practical experience.
✨Tip Number 4
If you have experience with C++ or other low-level programming languages, make sure to highlight this in conversations. Many firms value candidates who can write performant code, especially in a fast-paced trading environment.
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 expertise in Python, data science, and machine learning.
Craft a Strong Cover Letter: In your cover letter, express your passion for solving complex problems in dynamic market environments. Mention specific examples of how you've applied your analytical mindset and technical skills in previous roles.
Showcase Relevant Projects: If you have worked on projects involving high-frequency trading or market-making strategies, be sure to include these in your application. Highlight your experience with large datasets and the insights you've derived from them.
Proofread and Edit: Before submitting your application, carefully proofread all documents for clarity and correctness. Ensure that your writing is concise and free of errors, as this reflects your attention to detail and professionalism.
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. You might be asked to solve a coding problem on the spot, so practice writing clean and efficient code beforehand.
✨Demonstrate Your Analytical Mindset
Expect questions that assess your problem-solving abilities. Prepare examples from your past work where you approached complex problems with precision and patience, highlighting your analytical thought process.
✨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 where you extracted insights from large datasets, especially if they relate to high-frequency trading or market-making strategies.
✨Prepare for Technical Questions
Brush up on your knowledge of quantitative methods and any relevant programming languages like C++. Be ready to explain concepts clearly and concisely, as well as how they apply to real-world scenarios in equity markets.
