At a Glance
- Tasks: Develop and optimise trading algorithms for a cutting-edge algorithmic trading platform.
- Company: Join a leading firm in finance, focused on innovative trading solutions and internal liquidity.
- Benefits: Enjoy a competitive salary, performance bonuses, and comprehensive benefits including remote work options.
- Why this job: Be part of a dynamic team shaping the future of trading with impactful technology and collaboration.
- Qualifications: 10+ years in trading, strong C++ or Java skills, and a degree in a relevant field required.
- Other info: Opportunity to mentor junior developers and work in a fast-paced, team-oriented environment.
The predicted salary is between 96000 - 160000 £ 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.
Principal Responsibilities
- Algorithm Development: Developing custom trading algorithms with tailored execution outcomes that implement our portfolio optimization approach. Developing a framework that relies on internal signals and facilitates its use by a broader set of teams with their own signals, either independently or collaboratively.
- 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.
Qualifications/Skills Required
- Experience: 10+ years of relevant experience in the trading and finance industry.
- Market Microstructure Expertise: Domain expert in the market microstructure of cash equities. 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; experience with FPGA is a plus but not required.
- Trade & Market Data: Reasonable amount of experience with understanding and coding trade and market data.
- Leadership: Experience as a hands-on development lead, mentoring and guiding junior developers.
- Education: 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.
- Analytical Skills: Excellent quantitative and analytical skills, with the ability to interpret complex data and develop actionable insights.
- Communication: Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
- Problem-Solving: Proven ability to solve complex problems and think critically in high-pressure situations.
- Team Player: Ability to work effectively in a team-oriented environment, collaborating with cross-functional teams.
The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future. 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.
Quantitative Developer - Trading Algorithms employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer - Trading Algorithms
✨Tip Number 1
Make sure to showcase your experience in developing trading algorithms during networking events or industry meetups. Engaging with professionals in the finance and trading sectors can help you gain insights and potentially lead to referrals.
✨Tip Number 2
Stay updated on the latest trends in market microstructure and algorithmic trading by following relevant blogs, podcasts, and webinars. This knowledge will not only enhance your understanding but also provide you with talking points during interviews.
✨Tip Number 3
Consider contributing to open-source projects related to trading algorithms or market data analysis. This demonstrates your technical skills and commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges specifically focused on C++ or Java, especially in the context of event-driven systems. Familiarity with common algorithms and data structures used in trading can set you apart from other candidates.
We think you need these skills to ace Quantitative Developer - Trading Algorithms
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: Write a cover letter that showcases your passion for algorithmic trading and your leadership experience. Mention how your background aligns with the responsibilities outlined in the job description, such as collaboration with quantitative analysts and performance evaluation.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe the algorithms you developed, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and technical expertise.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail during the interview process. Brush up on your knowledge of event-driven trading processes and be prepared to explain complex concepts clearly, as communication is key in this role.
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.
✨Demonstrate Market Microstructure Knowledge
Since the role requires expertise in market microstructure, brush up on key concepts and be ready to explain how they influence trading strategies. Discuss any relevant experiences that highlight your understanding of cash equities and futures market structures.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Practice articulating your thought process when solving complex problems, particularly those related to algorithm performance and execution analysis.
✨Emphasise Collaboration and Leadership
Highlight your experience working with cross-functional teams and mentoring junior developers. Be ready to share specific examples of how you've led projects or collaborated with quantitative analysts to enhance trading strategies.