At a Glance
- Tasks: Maintain and upgrade trading strategies while managing large datasets.
- Company: Global investment management firm with a focus on technology and data-driven strategies.
- Benefits: Competitive salary, global collaboration, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on teamwork and innovation.
- Why this job: Join a cutting-edge firm and make an impact in the world of finance.
- Qualifications: Degree in Engineering or Computer Science and proficiency in programming languages.
The predicted salary is between 50000 - 70000 € per year.
My client is a global investment management firm that utilises a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting-edge systems, from high performance trading platforms to large-scale data analysis and compute farms. With offices around the globe, they emphasise true, global collaboration by aligning their investment, technology and operations teams functionally around the world.
The role as a Desk Quant Analyst includes:
- Maintain and upgrade the codebase and configuration of strategies within the firm’s automated trading framework.
- Manage large datasets used in both research and production environments.
- Perform live as well as historical monitoring of trading activities, including post-trade analysis or production reconciliation.
- Work in close collaboration with quant researchers and traders to understand the constantly evolving needs of the trading desks.
Requirements for a Desk Quant Analyst:
- Degree in Engineering, Computer Science or related technical subject.
- Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
- Great attention to details.
- Strong communication skills and ability to work well with colleagues across multiple regions.
- Ability to work well under pressure.
Quantitative Analyst in Slough employer: ANSON MCCADE
As a leading global investment management firm, we pride ourselves on fostering a dynamic and collaborative work environment that empowers our employees to excel. Our commitment to innovation is reflected in our cutting-edge technology and data-driven strategies, providing Quantitative Analysts with unparalleled opportunities for professional growth and development. With a focus on rigorous scientific research and a culture of teamwork across our international offices, we offer a rewarding career path for those looking to make a meaningful impact in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and tech sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Brush up on your programming skills and be ready to tackle technical questions. We recommend doing mock interviews with friends or using online platforms to simulate the real deal. Confidence is key!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant coding projects or data analysis, make sure to highlight them. We love seeing practical applications of your skills, so don’t be shy about sharing your GitHub or portfolio.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals who are passionate about quantitative analysis and technology. Don’t miss out!
We think you need these skills to ace Quantitative Analyst in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Desk Quant Analyst role. Highlight your programming skills, especially in languages like C++, Java, or Python, and any relevant experience with large datasets or trading systems. We want to see how your background aligns with our needs!
Showcase Your Projects:If you've worked on any projects related to quantitative analysis or automated trading, be sure to include them! Describe your role, the technologies you used, and the impact of your work. This helps us understand your hands-on experience.
Communicate Clearly:Strong communication skills are key for this role. When writing your application, be clear and concise. Use straightforward language to explain your experiences and how they relate to the job. We appreciate clarity as much as technical prowess!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application directly and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
How to prepare for a job interview at ANSON MCCADE
✨Know Your Code Inside Out
As a Desk Quant Analyst, you'll be dealing with complex codebases. Make sure you brush up on your programming skills, especially in languages like C++, Java, or Python. Be prepared to discuss your past projects and how you've tackled coding challenges.
✨Understand the Trading Environment
Familiarise yourself with the firm's trading strategies and the role of quantitative analysis in them. Research their automated trading framework and be ready to discuss how you can contribute to maintaining and upgrading it. Showing that you understand their operations will impress the interviewers.
✨Data is Key
Since you'll be managing large datasets, demonstrate your experience with data analysis and handling. Prepare examples of how you've worked with data in previous roles, including any post-trade analysis or reconciliation tasks you've performed. This will show your practical understanding of the job.
✨Communication is Crucial
You'll need to collaborate closely with quant researchers and traders, so strong communication skills are a must. Practice explaining complex concepts in simple terms, and be ready to discuss how you've successfully worked in teams across different regions. This will highlight your ability to fit into their global collaboration culture.
