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- Tasks: Analyse complex datasets and develop quantitative models for financial markets.
- Company: Leading financial firm in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make an impact in finance by turning data into actionable insights.
- Qualifications: Strong maths background, programming skills, and teamwork abilities required.
- Other info: Dynamic work environment with potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
This is a full-time on-site role for a Quantitative Researcher based in London. The Quantitative Researcher will work on analyzing large and complex datasets to identify patterns and insights.
Responsibilities include:
- Developing quantitative models
- Conducting research on financial markets
- Designing algorithms for quantitative investing
- Collaboration with cross-functional teams to optimize strategies and ensure data accuracy
Qualifications:
- Strong foundation in Mathematics and Statistics to perform quantitative analysis
- Experience in Quantitative Research and Quantitative Investing methodologies
- Exceptional Analytical Skills to interpret data and draw actionable insights
- Proficiency in programming languages commonly used in quantitative research, such as Python, R, or MATLAB
- Ability to collaborate effectively in a team and communicate technical results to non-technical stakeholders
- Master's or Ph.D. in a relevant field such as Mathematics, Statistics, Physics, Computer Science, or a related discipline is preferred
- Knowledge of financial markets and investment strategies is a plus
Quantitative Researcher employer: 360QBit
Contact Detail:
360QBit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network like a pro! Reach out to professionals in the quantitative research field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and analyses. This is a great way for us to demonstrate our expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We should practice explaining complex concepts in simple terms, as communication is key when working with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in quantitative research and any relevant programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your analytical prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative investing and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any interesting projects or research, make sure to mention them! We’re keen to see how you’ve applied your mathematical and statistical knowledge in real-world scenarios, especially if they relate to financial markets.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at 360QBit
✨Brush Up on Your Maths and Stats
Make sure you’re comfortable with the core concepts of Mathematics and Statistics. Be ready to discuss how you've applied these skills in your previous roles, especially in quantitative analysis. Practising some common problems can help you articulate your thought process during the interview.
✨Show Off Your Programming Skills
Since proficiency in programming languages like Python, R, or MATLAB is crucial, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Highlight any projects where you’ve used these languages to analyse data or develop models.
✨Know Your Financial Markets
Familiarise yourself with current trends and key players in financial markets. Being able to discuss recent developments or strategies in quantitative investing will show your passion for the field. Prepare some insights or questions that reflect your understanding of market dynamics.
✨Prepare for Team Collaboration Questions
Collaboration is key in this role, so think of examples from your past experiences where you worked effectively in a team. Be ready to explain how you communicated complex technical results to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical team members.
