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- Tasks: Analyse market data and develop trading strategies using cutting-edge technology.
- Company: Join Two Sigma, a leader in financial sciences and systematic trading.
- Benefits: Enjoy a collaborative culture, innovative projects, and opportunities for growth.
- Why this job: Be part of a team pushing the boundaries of trading technology and AI.
- Qualifications: 5+ years in quantitative research with a degree in STEM; Python skills preferred.
- Other info: Work in a dynamic environment with a focus on creativity and independent thinking.
The predicted salary is between 36000 - 60000 £ per year.
Quantitative Researcher: Europe Tactic Specialist – Two Sigma Securities UK
Join to apply for the Quantitative Researcher: Europe Tactic Specialist – Two Sigma Securities UK role at Two Sigma
Quantitative Researcher: Europe Tactic Specialist – Two Sigma Securities UK
Join to apply for the Quantitative Researcher: Europe Tactic Specialist – Two Sigma Securities UK role at Two Sigma
Position Summary
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
Two Sigma Securities brings a scientific approach to systematic trading and risk management to make markets more efficient. Our team trades over 10,000 US equities and 4,000 listed options, leveraging our high performance trading system to execute over 850 million shares per day. Two Sigma Securities is entering an exciting growth phase. We value the insights of our colleagues and encourage them to innovate and shape their own work agenda. New joiners use our proprietary platform to work on diverse projects. From building next generation trading technologies and researching novel AI and machine learning techniques to enhancing our strategies and deploying automation, our team is pushing the frontier in systematic trading.
We are seeking an experienced quantitative researcher to join our Market Making & Intraday Alpha (MMIA) team in London to develop new tactics leveraging our high performance proprietary trading platform across futures, ETFs and equities products. Ideal candidates will have industry experience researching, developing, testing, and deploying systematic short-horizon trading strategies.
You Will Take On The Following Responsibilities
- Systematically analyze market data to discover underlying patterns from historical market movement leveraging cutting edge computing techniques (e.g. Machine Learning, Artificial Intelligence, etc.)
- Design, implement and manage equities and futures trading strategies that identify microstructure inefficiencies, and defragment liquidity across global exchanges on the existing TSS high frequency trading platform
- Continuously test and enhance existing strategies to expand region profitability
- Develop, maintain, and enhance the HFT research platform for quantitative researchers in the team, by augmenting capabilities including our simulation engine, feature generation, and forecast evaluation tools
- Provide solid statistical analysis to drive key business decisions such as expansion into additional international futures and equities markets and additional strategies.
- Work with engineering partners to drive performance improvements to our proprietary ultra-low latency trading platform
You Should Possess The Following Qualifications
- 5+ years’ experience working in a quantitative discipline or research environment in European or global securities markets
- Degree in Computer Science, Mathematics, or related STEM field
- Demonstrated knowledge of advanced algorithms and data science techniques
- Technical aptitude for large scale data analysis
- Knowledge of scripting languages such as Python and Bash
- Programming skills in developing high-performance, multi-threaded applications in Linux environment
- Experience with databases
Preferred Qualifications
- Experience with version control systems, including Git and Mercurial
- Experience with building large-scale, real-time and distributed applications
- Advanced programing skills in at least one programing language (C, C++ preferred)
- Experience performing an in-depth research project leveraging real-world time-series data, experience with using Python preferred
- Ability to think independently and creatively approach data analysis and communicate complex ideas clearly
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance and Sales
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Quantitative Researcher: Europe Tactic Specialist - Two Sigma Securities UK employer: Two Sigma
Contact Detail:
Two Sigma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher: Europe Tactic Specialist - Two Sigma Securities UK
✨Tip Number 1
Familiarise yourself with Two Sigma's proprietary trading platform and the technologies they use. Understanding their approach to systematic trading and risk management will help you speak confidently about how you can contribute to their team.
✨Tip Number 2
Network with current or former employees of Two Sigma, especially those in quantitative roles. They can provide valuable insights into the company culture and the specific skills that are highly valued in the Quantitative Researcher position.
✨Tip Number 3
Stay updated on the latest trends in machine learning and data analysis techniques relevant to finance. Being able to discuss recent advancements and how they can be applied to trading strategies will set you apart from other candidates.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss past projects where you've successfully developed and implemented trading strategies, showcasing your analytical thinking and technical expertise.
We think you need these skills to ace Quantitative Researcher: Europe Tactic Specialist - Two Sigma Securities UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in systematic trading strategies. Emphasise your technical skills, especially in programming languages like Python and C++, as well as any experience with machine learning techniques.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and how your background aligns with the responsibilities outlined in the job description. Mention specific projects or experiences that demonstrate your ability to analyse market data and develop trading strategies.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, such as your proficiency in scripting languages, experience with databases, and familiarity with version control systems. This will help you stand out as a candidate who can contribute to their high-performance trading platform.
Highlight Problem-Solving Abilities: Quantitative researchers need to think creatively and independently. Use examples from your past work where you successfully solved complex problems or developed innovative solutions in data analysis. This will demonstrate your fit for the role at Two Sigma.
How to prepare for a job interview at Two Sigma
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like Python and C++. Be prepared to discuss specific projects where you've applied advanced algorithms or data science techniques, as this role requires a strong technical aptitude.
✨Demonstrate Analytical Thinking
Prepare to discuss how you've systematically analysed market data in the past. Use examples that showcase your ability to identify patterns and inefficiencies in trading strategies, as this is crucial for the Quantitative Researcher position.
✨Familiarise Yourself with the Company
Research Two Sigma's approach to systematic trading and their proprietary platforms. Understanding their business model and recent developments will help you tailor your responses and show genuine interest in the company.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Practice explaining your thought process clearly and concisely, as the ability to communicate complex ideas is essential for this role.
