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- Tasks: Create predictive signals using diverse datasets and lead the research cycle from generation to implementation.
- Company: Global investment management firm with a focus on collaboration and innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Make an impact in finance by leveraging cutting-edge data science and quantitative strategies.
- Qualifications: 4+ years experience in quantitative fields and strong coding skills required.
- Other info: Join a collegial team that values intellectual curiosity and innovative problem-solving.
The predicted salary is between 72000 - 108000 £ per year.
Quantitative Researcher/ Trader
£150,000 GBP
120,000
Onsite WORKING
Location: Central London, Greater London – United Kingdom Type: Permanent
My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative
strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients click apply for full job details
Quantitative Researcher/ Trader employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher/ Trader
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and quantitative research fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your coding skills and statistical knowledge. We recommend doing mock interviews with friends or using online platforms to simulate the real deal. The more you practice, the more confident you'll feel!
✨Tip Number 3
Showcase your projects! If you've worked on any interesting datasets or predictive models, make sure to highlight them during interviews. We love seeing how you’ve applied your skills in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can contribute to our collaborative environment.
We think you need these skills to ace Quantitative Researcher/ Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher/Trader role. Highlight your relevant experience, especially in statistics and machine learning, and don’t forget to showcase your coding skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative research and how your skills can contribute to our team. Be sure to mention any specific projects or experiences that demonstrate your expertise.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex problems or explored new datasets. We love candidates who are intellectually curious and can connect the dots between different fields, so don’t hold back on sharing your innovative processes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our global team!
How to prepare for a job interview at Anson McCade
✨Know Your Numbers
As a Quantitative Researcher/Trader, you’ll need to demonstrate your strong grasp of statistics and data analysis. Brush up on key statistical concepts and be ready to discuss how you've applied them in past projects. Prepare to explain your thought process when interpreting data and generating predictive signals.
✨Showcase Your Coding Skills
Since coding is a crucial part of the role, make sure you’re comfortable discussing your experience with programming languages like Python or R. Bring examples of your work, such as scripts or models you've developed, and be prepared for technical questions that test your coding abilities.
✨Demonstrate Intellectual Curiosity
This role requires a knack for exploring new datasets and solving complex problems. Be ready to share instances where your curiosity led to innovative solutions or insights. Highlight any projects where you connected the dots between different fields or methodologies.
✨Communicate Effectively
You’ll be collaborating with technologists, data scientists, and traders, so strong communication skills are essential. Practice explaining complex concepts in simple terms, and prepare to discuss how you’ve successfully worked in team settings. Show that you can convey your research findings clearly and concisely.
