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- Tasks: Conduct quantitative research and develop predictive models in a collaborative environment.
- Company: Cubist Systematic Strategies, part of Point72, focuses on innovative trading strategies using data-driven insights.
- Benefits: Gain hands-on training in systematic trading and access to cutting-edge research tools.
- Why this job: Join a dynamic team where your ideas can shape trading strategies and make a real impact.
- Qualifications: B.S., M.S. or PhD in a quantitative field; programming skills in Python or SQL required.
- Other info: Work permit needed for non-passport holders; no prior finance experience necessary.
The predicted salary is between 28800 - 48000 £ per year.
About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
- Follow, digest and analyze the latest academic research
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
- Build analytical tools to supplement our shared research framework
Requirements
- B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
- Programming in Python (or comparable language) and working knowledge of SQL
- Strong analytical and quantitative skills.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- Detail-oriented.
- Prior experience in the financial services industry is not required.
- A commitment to the highest ethical standards.
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit.
Bank or payment details should not be provided when applying for a job. All applications should be made via the 'Apply now' button.
Entry-Level Quantitative Researcher employer: Point72
Contact Detail:
Point72 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry-Level Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative research and systematic trading. Follow relevant academic journals and industry publications to stay updated on new methodologies and findings that could enhance your understanding and discussions during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python and SQL. Consider working on personal projects or contributing to open-source projects that showcase your ability to analyse data and build predictive models, as this will demonstrate your practical skills to potential employers.
✨Tip Number 3
Network with professionals in the finance and quantitative research fields. Attend industry conferences, webinars, or local meetups to connect with others who can provide insights into the role and potentially refer you to opportunities at companies like us.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and analytical questions related to quantitative research. Use platforms like LeetCode or HackerRank to sharpen your skills, as this will help you feel more confident and ready to tackle any challenges during the interview process.
We think you need these skills to ace Entry-Level Quantitative Researcher
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Entry-Level Quantitative Researcher position. Familiarise yourself with the skills needed, such as programming in Python and SQL, as well as the analytical tasks involved.
Tailor Your CV: Customise your CV to highlight relevant education and skills that align with the job description. Emphasise any quantitative coursework, programming experience, or projects that demonstrate your analytical abilities.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for quantitative research and your understanding of systematic trading. Mention specific experiences or projects that relate to the role and express your eagerness to contribute to the team.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a role that requires strong analytical skills.
How to prepare for a job interview at Point72
✨Brush Up on Quantitative Skills
Make sure to review key concepts in finance, mathematics, and statistics. Be prepared to discuss how you would apply these skills to real-world problems, especially in predictive modelling.
✨Familiarise Yourself with Python and SQL
Since programming is a crucial part of the role, ensure you can demonstrate your proficiency in Python or a comparable language, as well as your working knowledge of SQL. Consider preparing a small project or example to showcase your coding skills.
✨Stay Updated on Market Trends
Research recent academic papers and market anomalies relevant to systematic trading. Being able to discuss current trends and how they might impact trading strategies will show your enthusiasm and commitment to the field.
✨Prepare for Team Collaboration Questions
As the role involves working within a collaborative research group, be ready to share examples of how you've successfully worked in teams. Highlight your ability to take ownership of projects while also valuing input from others.
