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- Tasks: Develop high-quality predictive signals and identify trading opportunities using diverse datasets.
- Company: Leading global trading firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in global markets through quantitative trading.
- Qualifications: Experience in quantitative trading or data science, with strong programming skills.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: Dubai
CW Talent Solutions is pleased to partner with a leading global trading firm to recruit an experienced Quantitative Trader for its growing London team. This role offers a unique opportunity to operate at the intersection of quantitative research, engineering, and automated trading, contributing directly to the development of high-performance trading strategies across global markets.
Key Responsibilities- Develop high-quality predictive signals for quantitative trading strategies
- Identify statistical patterns and trading opportunities using large, diverse datasets
- Collaborate with fellow researchers by sharing research findings, methodologies, datasets, and processes
- Implement signals and datasets within the firm’s global execution platform
- Monitor signal behavior and model performance over time
- Lead the full research lifecycle, from signal generation through to deployment and execution
- Proven experience as a Quantitative Trader, Quantitative Researcher, or in data science / machine learning
- Advanced degree in a quantitative discipline such as Statistics, Mathematics, Physics, Engineering, or Data Science
- Strong background in statistics, machine learning, NLP, or AI techniques
- Ability to manage multiple priorities in a fast-paced environment with strong attention to detail
- Proficiency in at least one major programming language (Python, R, MATLAB, C++, or C#)
- Experience working with large datasets across multiple time horizons is advantageous
- Strong intellectual curiosity and problem-solving mindset
- Ability to work autonomously while contributing within a collaborative team environment
- Excellent communication skills, with the ability to work effectively with technologists, data scientists, and traders globally
- Demonstrated success in developing and delivering systematic trading strategies
Quantitative Trader in Slough employer: CW Talent Solutions
Contact Detail:
CW Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader in Slough
✨Tip Number 1
Network like a pro! Reach out to fellow traders, researchers, and anyone in the industry. Attend meetups or webinars to connect with people who can give you insights or even refer you to opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your trading strategies, predictive signals, or any relevant projects. This will help you stand out and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with programming languages and statistical methods, as well as how you've tackled real-world trading challenges.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that Quantitative Trader role. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Quantitative Trader in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Trader role. Highlight your experience in quantitative research, trading strategies, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about quantitative trading and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in programming languages like Python or R. If you’ve worked with large datasets or have experience in machine learning, make sure to highlight that too. We’re all about those technical chops!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at CW Talent Solutions
✨Know Your Numbers
As a Quantitative Trader, you’ll need to demonstrate your strong grasp of statistics and data analysis. Brush up on key concepts and be ready to discuss how you've applied them in past roles. Prepare to explain your thought process behind developing predictive signals and the methodologies you used.
✨Showcase Your Coding Skills
Proficiency in programming is crucial for this role. Make sure you can talk about your experience with languages like Python or R. Consider preparing a small coding challenge or example project that highlights your ability to work with large datasets and implement trading strategies.
✨Collaborate and Communicate
This position requires working closely with researchers and traders. Be prepared to discuss how you’ve collaborated in the past. Highlight your communication skills by sharing examples of how you’ve effectively conveyed complex ideas to non-technical team members.
✨Stay Curious and Informed
Demonstrating intellectual curiosity is key. Stay updated on market trends and recent advancements in quantitative trading. Bring insights or recent findings to the interview that show your passion for the field and your proactive approach to learning.
