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For Companies At a Glance
- Tasks: Lead the design and development of cutting-edge trading systems and algorithms.
- Company: Join Millennium, a prestigious global hedge fund known for tech-driven market innovations.
- Benefits: Enjoy competitive pay, remote work options, and a dynamic team culture.
- Why this job: Be part of a high-impact team shaping the future of trading with innovative technology.
- Qualifications: 1st class degree in a relevant field; strong Python skills and 3-5 years experience preferred.
- Other info: Target start date is as soon as possible; flexible for the right candidate.
The predicted salary is between 48000 - 72000 £ per year.
Software Engineer, Systematic Equity
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
About Us
We are a well established systematic equity trading group within a famous and prestigious global investment firm. Our team develops and maintains a plethora of sophisticated trading strategies which we deploy across many different time zones and markets globally. We\’re looking for an exceptional and bright Software Engineer to drive the design, development, and implementation of our systematic trading infrastructure and strategies.
The Role
As our Lead Software Engineer, you will play a crucial technical leadership role within our systematic equity trading team. You will collaborate closely with quantitative researchers, portfolio manager, and supporting teams to build scalable, high-performance trading systems. Your primary responsibility will be to develop, optimize, and maintain complex algorithms, data pipelines, and software infrastructure that underpin our trading strategies while ensuring robust risk management and compliance standards.
Location
London
Principal Responsibilities
- Lead the development and evolution of the quantitative trading platform
- Architect and implement high-performance, scalable software solutions for systematic equity trading
- Collaborate with quantitative researchers to translate trading strategies into efficient, production-grade code
- Evaluate and integrate emerging technologies, libraries, and tools to drive continuous improvement
- Design, code, test, and deploy robust trading algorithms and data processing pipelines
- Develop real-time data ingestion systems and analytics frameworks for market data, risk metrics, and performance
- Optimize existing codebases for speed, reliability, and maintainability
- Ensure rigorous version control, code quality, and documentation standards
- Work closely with cross-functional teams (trading, research, risk, operations) to ensure integrated solutions
- Work with risk professionals to implement stress testing, scenario analysis, and performance monitoring tools
- Incorporate risk management and compliance requirements into the trading system architecture
- Ensure systems are robust to market anomalies and designed with appropriate safeguards
Preferred Technical Skills
- 1st class Bachelor\’s or Master\’s degree in a relevant discipline
- Strong Python programming skills
- Strong understanding of algorithms, data structures, and performance optimization
- Experience with scientific Python libraries (pandas, numpy, etc)
- Understanding of time series data
- Basic understanding of statistics and data analysis
- Modern version control
- Testing frameworks, continuous integration, and deployment
- Experience working with network filesystems
- Linux computing environment
Preferred Experience
- 3-5 years of experience working in software development or quantitative development within trading or finance
- Excellent communication skills, ability to clearly explain technical concepts (both verbal and written)
- Good problem-solving abilities and attention to detail
- Excellent sense of quality and workmanship
Highly Valued Relevant Experience
- Familiarity with a systems programming language like C/C++ or Rust
- Familiarity with ACID data principles
- Familiarity with SQL and NoSQL databases and distributed computing frameworks is a plus
- Working knowledge of cloud computing and low-latency systems is beneficial
Target Start Date
- As soon as possible (will wait up to 3 months for strong candidate)
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Software Engineer, Systematic Equity employer: Millennium Management LLC
Contact Detail:
Millennium Management LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Systematic Equity
✨Tip Number 1
Familiarise yourself with the specific technologies and programming languages mentioned in the job description, especially Python and any scientific libraries like pandas and numpy. This will not only help you understand the role better but also allow you to speak confidently about your experience during interviews.
✨Tip Number 2
Network with professionals in the finance and trading sectors, particularly those who work with systematic equity strategies. Attend industry meetups or webinars to gain insights and potentially make connections that could lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved developing algorithms or working with data pipelines. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Tip Number 4
Stay updated on the latest trends in quantitative trading and technology innovations. Being knowledgeable about current market practices can give you an edge in discussions and demonstrate your genuine interest in the field.
We think you need these skills to ace Software Engineer, Systematic Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software development, particularly in trading or finance. Emphasise your Python programming skills and any experience with quantitative development.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to develop high-performance trading systems and collaborate with cross-functional teams.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in Python, understanding of algorithms, and any experience with scientific libraries like pandas and numpy. If you have experience with C/C++ or cloud computing, make sure to mention that too.
Highlight Problem-Solving Abilities: Provide examples in your application that showcase your problem-solving abilities and attention to detail. This could be through specific projects or challenges you've faced in previous roles, especially those related to trading or finance.
How to prepare for a job interview at Millennium Management LLC
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any scientific libraries you've used, like pandas or numpy. You might be asked to solve coding problems on the spot, so brush up on algorithms and data structures beforehand.
✨Understand the Trading Environment
Familiarise yourself with systematic equity trading concepts and the role of technology in this space. Being able to discuss how you can contribute to developing high-performance trading systems will impress the interviewers.
✨Demonstrate Collaboration Skills
Since the role involves working closely with quantitative researchers and other teams, be ready to share examples of past collaborations. Highlight your communication skills and how you’ve successfully worked in cross-functional teams.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically, as this will show your analytical skills and attention to detail, which are crucial for this role.
