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- Tasks: Develop and optimise trading algorithms for a cutting-edge platform.
- Company: Join a leading firm in liquidity strategies and trading solutions.
- Benefits: Enjoy a competitive salary, performance bonuses, and comprehensive benefits.
- Why this job: Be part of an innovative team shaping the future of trading technology.
- Qualifications: 10+ years in trading, strong C++ or Java skills, and a relevant degree.
- Other info: Opportunity to collaborate with top quantitative analysts and enhance your technical expertise.
The predicted salary is between 48000 - 84000 £ per year.
The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm’s trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis.
We are seeking a highly driven, results-oriented Senior Quantitative Developer with a strong background in building trading algorithms and a deep understanding of market microstructure and execution strategies to build a greenfield internal algorithmic trading platform. This role requires a combination of technical expertise, industry knowledge, and leadership skills to develop and optimize trading algorithms tailored to the businesses’ trading objectives.
- Developing custom trading algorithms with tailored execution outcomes that implement our portfolio optimization approach.
- Simulation: Develop a framework of simulators that use market data and trade history (or models) to evaluate the efficacy of algorithmic logic changes.
- Collaboration with Quant Analysts: Partner with quantitative research analysts to productionize market microstructure and short-term signal models.
- Performance Evaluation: Develop execution analysis reporting with appropriate benchmarks to evaluate the performance of custom algorithms.
- Monitoring Tools: Develop intraday and post-trade monitoring tools to monitor and troubleshoot algorithm performance.
Experience:
- 10+ years of relevant experience in the trading and finance industry.
- Knowledge of liquid futures market structure is a bonus.
- Development Skills: Significant hands-on development experience in event-driven, real-time trading processes. Proficiency in C++ is preferred. If using Java, must demonstrate techniques that maximize runtime performance; proficiency with techniques that cover best-in-class software-based latency.
- Trade & Market Data: Reasonable amount of experience with understanding and coding trade and market data.
- Bachelor's or Master's degree in CS, Electrical & Electronic Eng, Biochem, applied math or statistics.
- Technical Skills: Strong programming skills in C++ or Java, with a focus on event-driven real-time trading processes.
- Excellent quantitative and analytical skills, with the ability to interpret complex data and develop actionable insights.
Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
Quant Developer - Trading employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Trading
✨Tip Number 1
Familiarise yourself with the latest trends in algorithmic trading and market microstructure. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the trading and finance industry, especially those who work with quantitative development. Attend relevant meetups or webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Brush up on your programming skills, particularly in C++ or Java, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve real-time trading processes to showcase your expertise.
✨Tip Number 4
Prepare to discuss your past experiences in developing trading algorithms and how you've optimised them for performance. Be ready to provide specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving abilities.
We think you need these skills to ace Quant Developer - Trading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing trading algorithms and your understanding of market microstructure. Use specific examples that demonstrate your technical skills, particularly in C++ or Java.
Craft a Strong Cover Letter: In your cover letter, express your passion for algorithmic trading and detail how your background aligns with the role's requirements. Mention any relevant projects or achievements that showcase your ability to develop and optimise trading strategies.
Showcase Technical Skills: Clearly outline your programming skills and any relevant technologies you have worked with. If you have experience with event-driven, real-time trading processes, make sure to highlight this as it is crucial for the role.
Prepare for Technical Questions: Anticipate technical questions related to trading algorithms and market data during the interview process. Brush up on your knowledge of performance evaluation and monitoring tools, as these are key aspects of the job.
How to prepare for a job interview at Millennium Management
✨Showcase Your Technical Skills
Be prepared to discuss your programming experience in C++ or Java, especially in the context of event-driven, real-time trading processes. Bring examples of past projects where you developed trading algorithms or worked with market data.
✨Understand Market Microstructure
Demonstrate your knowledge of market microstructure and execution strategies during the interview. Be ready to explain how these concepts influence algorithm performance and trading outcomes.
✨Collaboration is Key
Highlight your experience working with quantitative analysts or other teams. Discuss how you have successfully partnered with others to productionise models or improve trading strategies.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges related to trading algorithms and be ready to explain your thought process clearly.
