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- Tasks: Research and apply trading strategies using automated frameworks and analyze data for opportunities.
- Company: Join a global hedge fund with a decade of successful Quant trading strategies.
- Benefits: Work in a cutting-edge environment with state-of-the-art infrastructure and collaborative culture.
- Why this job: Dive into the exciting world of trading, technology, and quantitative analysis with a dynamic team.
- Qualifications: Master's or PhD in relevant fields and proficiency in programming languages like Python or C++.
- Other info: Ideal for detail-oriented individuals who thrive under pressure and enjoy interdisciplinary collaboration.
The predicted salary is between 43200 - 72000 £ per year.
Our client has an extensive and impressive track record of successfully running Quant trading strategies for over a decade, they spun out as a hedge fund and now operate globally.
They are a highly interdisciplinary firm, operating around the intersection of trading, quant modelling and technology.
Their trades are facilitated by state-of-the-art infrastructure which handles their larger trading volumes easily.
Role:
• Using the firms automated trading framework to research and apply strategies
• Using progressive statistical approaches to analyze data and ascertain opportunities for trading
• To build upon and develop strong understanding of market structures of the various exchanges and asset classes.
• Pre market – checking that all required data and processes are ready.
• During market – sporadically monitoring behavior and performance of strategies.
Ideal Candidate:
• Quantitative background – including Master/ PhD’s in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics from a top University.
• Programming proficiency with at least one major programming or scripting language (Python, C++, and R).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to perform well under pressure.
• Detail orientated
Systematic Quantitative Researcher/Trader employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systematic Quantitative Researcher/Trader
✨Tip Number 1
Familiarize yourself with the latest trends in quantitative trading and market structures. This will not only help you understand the firm's operations better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your programming skills, especially in Python, C++, or R. Consider working on personal projects or contributing to open-source projects to showcase your coding abilities and problem-solving skills.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals and learn about potential job openings.
✨Tip Number 4
Prepare for technical interviews by practicing quantitative problems and case studies. Focus on statistical analysis and algorithmic thinking, as these are crucial for the role of a Systematic Quantitative Researcher/Trader.
We think you need these skills to ace Systematic Quantitative Researcher/Trader
Some tips for your application 🫡
Highlight Your Quantitative Background: Make sure to emphasize your educational qualifications, especially if you have a Master's or PhD in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics. Mention any relevant coursework or projects that showcase your quantitative skills.
Showcase Programming Proficiency: Clearly outline your programming skills, particularly in Python, C++, or R. Provide examples of projects or experiences where you utilized these languages, especially in a trading or quantitative analysis context.
Demonstrate Communication Skills: Since the role requires strong communication abilities, include examples of how you've effectively collaborated with colleagues or teams, particularly in interdisciplinary settings. Highlight any experience working across different regions or cultures.
Detail Your Analytical Approach: Discuss your experience with statistical approaches and data analysis. Provide specific examples of how you've identified trading opportunities through data analysis, and mention any tools or methodologies you are familiar with.
How to prepare for a job interview at Anson McCade
✨Showcase Your Quantitative Skills
Be prepared to discuss your academic background in Mathematics, Statistics, or related fields. Highlight any relevant projects or research that demonstrate your quantitative abilities and how they relate to trading strategies.
✨Demonstrate Programming Proficiency
Since programming is crucial for this role, be ready to talk about your experience with languages like Python, C++, or R. You might even be asked to solve a coding problem during the interview, so practice common algorithms and data structures.
✨Understand Market Structures
Familiarize yourself with the market structures of various exchanges and asset classes. Be prepared to discuss how these structures influence trading strategies and your approach to analyzing data.
✨Communicate Effectively
Strong communication skills are essential, especially when working with colleagues across different regions. Practice explaining complex concepts in simple terms and be ready to discuss how you collaborate with others in a team setting.
