At a Glance
- Tasks: Manage and optimise trading models for a cutting-edge cryptocurrency exchange.
- Company: Join a leading crypto exchange known for its innovative trading services.
- Benefits: Enjoy competitive pay, flexible working hours, and a dynamic work environment.
- Why this job: Be part of a fast-paced team shaping the future of cryptocurrency trading.
- Qualifications: Bachelor's or Master's in Quantitative Finance or related field; 3+ years experience required.
- Other info: Ideal for those passionate about crypto and quantitative trading.
The predicted salary is between 48000 - 84000 £ per year.
This opportunity is with a cutting-edge cryptocurrency exchange offering a wide range of trading services, including spot trading, futures, P2P, and copy trading. The platform combines advanced technology with deep market insights to deliver a secure, high-performance trading experience. It operates a hybrid A-book and B-book model to optimise trading execution, liquidity, and profitability across its futures platform.
A fast-paced trading platform is seeking an experienced Quantitative Trader to manage and optimise A-book and B-book trading models, specifically for futures trading. This individual will be responsible for building and refining strategies that balance market risk, ensure platform liquidity, and maximise profitability. The ideal candidate will have deep knowledge of crypto derivatives markets, quantitative finance, and trading system infrastructure.
Key Responsibilities:- Manage and oversee A-book and B-book trading operations for the futures platform
- Develop, backtest, and implement quantitative trading strategies to optimise trade execution and risk exposure
- Monitor and analyse market data, trade flows, and customer behaviour to inform strategy adjustments
- Collaborate with risk management and tech teams to ensure proper hedging, order routing, and system performance
- Adjust hedging models dynamically based on market volatility and internal position exposure
- Continuously improve profitability models, pricing strategies, and market-making algorithms
- Generate reports and dashboards to track performance metrics, PnL, and KPIs
- Stay current with crypto market trends, regulatory developments, and exchange risk practices
- Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Computer Science, or a related field
- Minimum 3+ years of experience in quantitative trading, preferably in crypto or derivatives markets
- Strong understanding of A-book and B-book execution models, particularly in futures trading
- Proficient in Python, R, or C++ for strategy development and data analysis
- Familiarity with APIs, market data feeds, order book dynamics, and trading platforms
- Strong risk management skills and ability to operate in high-volatility environments
- Experience with backtesting frameworks, trading system architecture, and latency-sensitive applications
- Self-motivated, detail-oriented, and capable of working in a fast-paced, high-growth environment
Quantitative Trader employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Trader
✨Tip Number 1
Familiarise yourself with the specific trading models used in the cryptocurrency space, especially A-book and B-book execution. Understanding these concepts will not only help you during interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Stay updated on the latest trends and developments in the crypto derivatives market. Engaging with industry news, forums, and webinars can provide you with insights that may come in handy during discussions with our team.
✨Tip Number 3
Network with professionals in the quantitative trading field, particularly those with experience in crypto. Building connections can lead to valuable referrals and insider knowledge about the role and our company culture.
✨Tip Number 4
Prepare to discuss your experience with backtesting frameworks and trading system architecture. Being able to articulate your past projects and how they relate to our needs will set you apart from other candidates.
We think you need these skills to ace Quantitative Trader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative trading, especially in crypto or derivatives markets. Emphasise your proficiency in Python, R, or C++ and any specific projects that showcase your skills in strategy development and data analysis.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your understanding of A-book and B-book execution models. Discuss your experience with backtesting frameworks and how you have successfully managed trading operations in high-volatility environments.
Showcase Your Knowledge: In your application, demonstrate your knowledge of current crypto market trends and regulatory developments. Mention any relevant reports or dashboards you have generated in previous roles to track performance metrics and KPIs.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any grammatical errors or typos. Ensure that your application is clear, concise, and professional, reflecting your attention to detail and self-motivation.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python, R, or C++. Be prepared to discuss specific projects where you've developed quantitative trading strategies or worked with APIs and market data feeds.
✨Demonstrate Market Knowledge
Stay updated on the latest trends in the cryptocurrency market. Be ready to discuss recent developments, regulatory changes, and how they might impact trading strategies. This shows your passion and commitment to the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in high-volatility environments. Think of examples where you had to adjust trading strategies dynamically based on market conditions and be ready to explain your thought process.
✨Emphasise Collaboration Skills
Since the role involves working closely with risk management and tech teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to achieve common goals.