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- Tasks: Develop and implement advanced machine learning models for trading strategies.
- Company: Join a fast-growing global systematic stat arb business in London.
- Benefits: Enjoy top compensation, huge bonus potential, and competitive benefits.
- Why this job: Work with world-class experts in a collaborative and innovative environment.
- Qualifications: Degree in a quantitative field; strong math and programming skills required.
- Other info: Relevant internships are a plus, but not mandatory.
The predicted salary is between 43200 - 72000 £ per year.
Machine Learning Quant Researchers, London
Our fast-growing global client, a systematic stat arb business who pioneer innovative solutions in quantitative finance, are now expanding into the London market and are looking to make multiple hires in the coming year. They harness the power of data and advanced machine learning algorithms to uncover market opportunities and drive exceptional returns for their investors.
As a Quantitative Researcher here, you’ll play a pivotal role in developing and implementing sophisticated trading strategies. You’ll collaborate with a brilliant team of data scientists, mathematicians, and engineers to analyse vast datasets, build predictive models, and optimize portfolios.
Key Responsibilities:
- Develop and implement advanced machine learning models
- Analyze complex datasets to extract valuable insights
- Collaborate with cross-functional teams to drive innovation
- Contribute to the development of cutting-edge trading strategies
Qualifications:
- Degree from a top academic institution in a quantitative field – ideally to PhD level
- Strong mathematics and programming skills (ideally Python)
- Experience with machine learning, statistical modeling, and data analysis
- Passion for quantitative finance and problem-solving
- Relevant commercial experience and internships are a plus but not strictly necessary
- Systematic experience a bonus but not mandatory
Why Join?
- Top compensation, including huge bonus potential and competitive benefits package
- Cutting-edge technology and challenging projects
- Collaborative and intellectually stimulating work environment
- Opportunity to work with world-class experts and pursue/monetise your own research ideas
Ready to make a significant impact? Apply now!
Machine Learning Quant Researcher employer: Vertex Search
Contact Detail:
Vertex Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Quant Researcher
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative finance and machine learning. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences, meetups, or online forums. Building connections can lead to valuable insights and potential referrals for job openings.
✨Tip Number 3
Work on personal projects that showcase your skills in machine learning and data analysis. Having a portfolio of projects can demonstrate your practical experience and passion for the field.
✨Tip Number 4
Stay updated on the latest tools and technologies used in quantitative research. Being proficient in Python and familiar with libraries like TensorFlow or PyTorch can set you apart from other candidates.
We think you need these skills to ace Machine Learning Quant Researcher
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly understand the responsibilities and qualifications listed in the job description. Highlight your relevant experience in machine learning, data analysis, and quantitative finance in your application.
Tailor Your CV: Customize your CV to emphasize your programming skills, particularly in Python, and any experience with machine learning or statistical modeling. Use specific examples that demonstrate your ability to analyze complex datasets and develop predictive models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative finance and problem-solving. Mention any relevant projects or internships that align with the company's focus on innovative solutions in quantitative finance.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, be sure to mention any collaborative projects you've been part of. Describe how you contributed to team success and drove innovation in previous roles.
How to prepare for a job interview at Vertex Search
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills, especially in Python. Highlight any relevant projects or experiences where you developed machine learning models or conducted data analysis.
✨Demonstrate Your Problem-Solving Ability
Expect to face technical questions that assess your quantitative and analytical thinking. Practice solving complex problems and be ready to explain your thought process clearly.
✨Highlight Collaborative Experiences
Since the role involves working with cross-functional teams, share examples of past collaborations. Discuss how you contributed to team projects and what you learned from those experiences.
✨Express Your Passion for Quantitative Finance
Convey your enthusiasm for the field during the interview. Discuss any personal projects, research, or relevant coursework that showcases your interest and commitment to quantitative finance.
