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- Tasks: Research and apply trading strategies using automated frameworks and statistical analysis.
- Company: Join a leading hedge fund with a decade of successful quantitative trading.
- Benefits: Enjoy a competitive salary, sign-on bonus, and performance bonuses.
- Why this job: Be part of an interdisciplinary team at the forefront of trading technology and market analysis.
- Qualifications: Master's or PhD in relevant fields and programming skills in Python, C++, or R required.
- Other info: In-office role based in London, perfect for ambitious graduates.
The predicted salary is between 96000 - 168000 £ 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 firm's automated trading framework to research and apply strategies.
- Using progressive statistical approaches to analyse data and ascertain opportunities for trading.
- Building upon and developing a 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 behaviour and performance of strategies.
Ideal Candidate:
- Quantitative background - including Master/PhD 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.
Junior Quantitative Researcher - Anson McCade employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Researcher - Anson McCade
✨Tip Number 1
Familiarise yourself with the latest trends in quantitative trading and market structures. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨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.
✨Tip Number 3
Network with professionals in the quantitative finance space. Attend industry events, webinars, or meetups to connect with potential colleagues and learn more about the company culture at Anson McCade.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and statistical analysis questions. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with coding challenges.
We think you need these skills to ace Junior Quantitative Researcher - Anson McCade
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your quantitative background, relevant education, and programming skills. Emphasise any experience with statistical analysis or financial modelling that aligns with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative research and trading. Mention specific projects or experiences that demonstrate your analytical skills and familiarity with market structures.
Highlight Technical Skills: Clearly list your programming proficiency in languages like Python, C++, or R. Provide examples of how you've used these skills in previous roles or projects to solve complex problems.
Showcase Communication Abilities: Since strong communication skills are essential, include examples of how you've effectively collaborated with teams or presented complex data to non-technical stakeholders in your application.
How to prepare for a job interview at Jobs via eFinancialCareers
✨Showcase Your Quantitative Skills
Make sure to highlight your academic background and any relevant projects that demonstrate your quantitative abilities. Be prepared to discuss specific statistical methods or models you've used in the past.
✨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 want to prepare for a coding challenge or technical questions related to these languages.
✨Understand Market Structures
Familiarise yourself with different market structures and asset classes. Being able to discuss how these impact trading strategies will show your depth of knowledge and interest in the field.
✨Communicate Effectively
Strong communication skills are essential, especially in a multidisciplinary environment. Practice explaining complex concepts in simple terms, as you may need to collaborate with colleagues from various backgrounds.
