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- Tasks: Design and implement mid-frequency trading strategies across various asset classes.
- Company: Join a dynamic trading team focused on innovation and market impact.
- Benefits: Competitive pay, performance incentives, and collaborative work culture.
- Why this job: Make a real difference in global markets with your quantitative skills.
- Qualifications: 4+ years in quantitative research and strong Python programming skills required.
- Other info: Exciting growth opportunities in a fast-paced trading environment.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We are seeking a Quantitative Associate to join our trading strategies team. The ideal candidate will possess strong quantitative and programming skills, a deep understanding of financial markets, and hands-on experience developing and implementing mid-frequency systematic trading strategies across asset classes including FX, commodities, fixed income, and equities.
This role combines quantitative research, data analysis, and strategy implementation, with a focus on generating alpha through data-driven insights and disciplined risk management.
Key Responsibilities
● Design, develop, and implement systematic mid-frequency trading strategies across core asset classes.
● Conduct data analysis and statistical modeling on large-scale financial datasets to identify market inefficiencies.
● Build, backtest, and validate trading strategies using robust simulation frameworks to ensure scalability and performance consistency.
● Collaborate with developers and risk management teams to deploy and monitor strategies in live trading environments.
● Continuous supervision, refinement, and optimization of strategies to adapt to changing market conditions.
● Conduct financial analysis and performance attribution to evaluate trading models.
Required Qualifications
● 4+ years of experience in quantitative research/analysis within a trading, hedge fund, or financial institution environment.
● Proven expertise in developing and deploying trading strategies in at least one asset class (FX, commodities, fixed income, equities).
● Strong proficiency in Python for data manipulation, statistical analysis, and backtesting.
● Solid understanding of financial markets, trading instruments, and market microstructure.
● Experience with mid-frequency trading strategy design (holding periods: intraday to multi-day).
● Strong grasp of risk management and portfolio construction principles.
Preferred Qualifications
● Familiarity with machine learning methods applied to trading.
● Experience with tick-level data and high-performance coding (e.g., C++).
● Advanced degree (Master’s/PhD) in quantitative finance, mathematics, physics, or related field.
What We Offer
● Opportunity to work on impactful trading strategies across global markets.
● Highly competitive compensation package with performance-based incentives.
● Collaborative environment combining market expertise with cutting-edge research.
● Growth opportunities in a fast-moving and innovative trading team.
Quantitative Associate - Trading Strategies employer: XSOR Capital
Contact Detail:
XSOR Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Associate - Trading Strategies
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with alumni from your university. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative research and trading strategies. Use platforms like GitHub to share your projects and demonstrate your programming prowess in Python and other relevant tools.
✨Tip Number 3
Prepare for interviews by brushing up on your financial market knowledge and technical skills. Practice common quantitative problems and be ready to discuss your past experiences in developing and implementing trading strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Associate - Trading Strategies
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative and programming skills in your application. We want to see how you've used these skills in real-world scenarios, especially in developing trading strategies.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quantitative Associate role. Mention your experience with asset classes and any relevant projects you've worked on.
Be Data-Driven: Since this role is all about data analysis and strategy implementation, include examples of how you've used data to drive decisions or improve trading strategies. We love seeing those data-driven insights!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at XSOR Capital
✨Know Your Quantitative Stuff
Brush up on your quantitative research and analysis skills. Be ready to discuss specific projects where you've developed trading strategies, especially in FX, commodities, or equities. Highlight your experience with statistical modelling and data analysis, as this will show you understand the core responsibilities of the role.
✨Show Off Your Python Skills
Since strong proficiency in Python is a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss how you've used Python for data manipulation and backtesting in previous roles. Bring examples of your work if possible!
✨Understand Market Dynamics
Make sure you have a solid grasp of financial markets and trading instruments. Be prepared to discuss market microstructure and how it impacts trading strategies. This knowledge will help you stand out as someone who can adapt strategies to changing market conditions.
✨Be Ready for Collaboration
This role involves working closely with developers and risk management teams, so be ready to talk about your teamwork experiences. Share examples of how you've collaborated on projects, especially those that required refining and optimising trading strategies in a live environment.