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- Tasks: Create predictive signals using large datasets and share findings with the team.
- Company: Join a leading firm at the forefront of quantitative research and innovation.
- Benefits: Enjoy flexible working options and a collaborative, dynamic work culture.
- Why this job: Be part of a cutting-edge team driving impactful research in finance and technology.
- Qualifications: 4+ years experience in a quantitative field; advanced degree preferred.
- Other info: Opportunity to work autonomously while collaborating with global experts.
The predicted salary is between 43200 - 72000 £ per year.
Your core objective is to create high quality predictive signals. By leveraging access to large and diversified datasets, you will identify statistical patterns and opportunities. Share and discuss research results, methodology, data sets and processes with other researchers. Implement the signals and the relevant datasets within the global execution platform. Monitor signal behavior and model performance over time. You would lead the full strategy research cycle from signal generation to implementation.
Your present skillset:
- Min 4 years of relevant experience
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
- Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
- Capacity to multi-task in a fast paced environment while keeping strong attention to detail
- Coding skills required in at least one leading programming language (Python, R, MATLAB and/or C++, C#)
- Experience in exploring large datasets across multiple time frames is a plus
- Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
- Capacity to work with autonomy within a collegial and collaborative environment
- Strong capacity to communicate with technologists, data scientists and traders across the globe
- Proven track record in delivering successful systematic strategies
Quantitative Researcher employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher
✨Tip Number 1
Network with professionals in the quantitative research field. Attend industry conferences, webinars, or local meetups to connect with others who work in similar roles. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Showcase your coding skills by contributing to open-source projects or creating your own data analysis tools. This not only demonstrates your technical abilities but also your initiative and passion for the field, which can set you apart from other candidates.
✨Tip Number 3
Stay updated on the latest advancements in machine learning and AI techniques. Follow relevant blogs, podcasts, or online courses to enhance your knowledge. Being well-versed in current methodologies will make you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your past projects and the impact they had on your previous employers. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and ability to deliver results.
We think you need these skills to ace Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in quantitative research, particularly focusing on your advanced degree and any specific skills in statistics, machine learning, or programming languages like Python or R.
Craft a Compelling Cover Letter: In your cover letter, emphasise your intellectual curiosity and ability to work autonomously. Discuss how your previous experiences align with the responsibilities of creating predictive signals and implementing strategies.
Showcase Your Projects: If you have worked on projects involving large datasets or statistical modelling, include these in your application. Describe your role, the methodologies used, and the outcomes achieved to demonstrate your capability.
Highlight Communication Skills: Since the role requires collaboration with technologists and data scientists, mention any experiences where you successfully communicated complex ideas or worked in a team environment. This will show your ability to thrive in a collegial setting.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Skills
Be prepared to discuss your coding skills in detail, especially in Python, R, or MATLAB. You might be asked to solve a problem on the spot, so brush up on your programming knowledge and be ready to demonstrate your proficiency.
✨Demonstrate Your Analytical Thinking
Since the role involves identifying statistical patterns, be ready to explain your thought process when analysing data. Share examples of how you've approached complex problems in the past and the methodologies you used to derive insights.
✨Communicate Effectively
You’ll need to collaborate with various teams, so practice explaining complex concepts in simple terms. Prepare to discuss how you've successfully communicated research results and methodologies to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to handle real-world scenarios, such as monitoring signal behaviour or implementing strategies. Think of specific instances where you've had to adapt your approach based on data feedback and be ready to share those experiences.
