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For Companies At a Glance
- Tasks: Join a team of researchers to analyze market dynamics and develop trading systems.
- Company: Vertex Search partners with an elite systematic equities firm focused on innovative finance solutions.
- Benefits: Enjoy competitive salaries, hybrid work options, private healthcare, and a discretionary bonus scheme.
- Why this job: Gain hands-on experience in finance while collaborating with top-tier researchers in a dynamic environment.
- Qualifications: PhD or Master's in a quantitative field; programming skills, especially in Python, are a plus.
- Other info: Receive mentorship from world-class researchers and contribute to portfolio construction and optimization.
The predicted salary is between 36000 - 60000 £ per year.
Quantitative Researchers – finance internships or experience required
Vertex Search are working with an elite systematic equities firm looking to hire Quantitative Researchers into the organisation at various experience levels. They offer great starting salaries, large upside comp potential and a large degree of flexibility in their hybrid work setup, alongside exceptional career opportunities.
This role will report to the Head of Research and the successful candidate will work alongside the existing team of ~10 researchers. They are looking for quants with commercial experience or a demonstrable interest in finance to help them expand their understanding of market dynamics, build out their quantitative trading systems and perform alpha research.
Researchers work with large, complex datasets and have the freedom to explore their own ideas whilst working collaboratively with others, gaining exposure to the end to end, 'full stack' research process. New starters will receive close mentoring and training from world-class Researchers as they develop their skills. They are also looking for experienced Quants to assist with such mentoring as well as portfolio construction & optimisation responsibilities.
Skills and Experience
The ideal candidate will have the following:
- A PhD in a quantitative subject, ideally mathematics, physics, economics or similar. A Master's degree in a STEM subject with relevant commercial experience will also be considered
- A demonstrable interest in global financial markets, evidenced by internships or commercial experience
- Some fluency in your programming language of choice (they use Python for research)
- Ability to apply technical skills in order to understand complex market forces and create robust future predictions
- Enthusiasm for working in a growing team with a high level of collaboration across the entire end-to-end trading system
- Excellent communication and teamwork skills
- Portfolio construction / portfolio optimisation and prior signal research experience is a bonus
Benefits
- Great starting salaries with high-potential discretionary bonus scheme
- Private healthcare and dental plan
- Critical illness cover
- Contributory pension scheme
- Cycle to work scheme
- Hybrid working with the ability to WFH up to 3 days per week
Vertex Search Ltd is acting as a recruitment agency on this engagement.
Quant Researcher employer: Vertex Search
Contact Detail:
Vertex Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Researcher
✨Tip Number 1
Make sure to showcase your quantitative skills and any relevant experience in finance during networking events or informal meetups. Engaging with professionals in the field can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Familiarize yourself with the latest trends in quantitative research and trading systems. Being able to discuss current market dynamics and how they relate to your work will demonstrate your passion and knowledge during interviews.
✨Tip Number 3
Consider contributing to open-source projects or participating in hackathons that focus on financial data analysis. This not only enhances your programming skills but also shows your commitment to applying your knowledge in real-world scenarios.
✨Tip Number 4
Reach out to current or former employees of the firm on platforms like LinkedIn. Asking them about their experiences can provide valuable insights and help you tailor your approach when applying for the position.
We think you need these skills to ace Quant Researcher
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize any internships or commercial experience you have in finance. This will demonstrate your interest and understanding of global financial markets, which is crucial for the role.
Showcase Your Technical Skills: Clearly outline your programming skills, especially in Python, as this is the primary language used for research. Provide examples of how you've applied these skills in previous projects or roles.
Demonstrate Your Quantitative Background: Since a PhD or Master's degree in a quantitative subject is preferred, be sure to detail your academic qualifications and any relevant coursework or research that aligns with the job requirements.
Express Enthusiasm for Collaboration: The role emphasizes teamwork and collaboration. In your application, convey your enthusiasm for working in a team environment and provide examples of successful collaborative projects you've been part of.
How to prepare for a job interview at Vertex Search
✨Show Your Passion for Finance
Make sure to express your genuine interest in global financial markets. Share any relevant internships or experiences that highlight your enthusiasm and understanding of market dynamics.
✨Demonstrate Your Technical Skills
Be prepared to discuss your programming skills, especially in Python. Highlight any projects or research where you've applied these skills to solve complex problems or analyze large datasets.
✨Prepare for Collaborative Scenarios
Since the role emphasizes teamwork, think of examples where you've successfully collaborated with others. Be ready to discuss how you can contribute to a growing team and support your colleagues.
✨Discuss Your Research Experience
If you have experience in portfolio construction, optimization, or signal research, make sure to bring it up. Discuss specific projects or findings that demonstrate your ability to apply quantitative methods in finance.
