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- Tasks: Lead the development of high-performance trading systems and algorithms.
- Company: Millennium is a prestigious global hedge fund focused on innovative technology and data-driven strategies.
- Benefits: Enjoy competitive salary, collaborative culture, and opportunities for professional growth.
- Why this job: Join a dynamic team shaping the future of trading with cutting-edge technology and impactful strategies.
- Qualifications: 1st class degree in a relevant field and strong Python skills required; 3-5 years experience preferred.
- Other info: Position based in London; flexible start date for the right candidate.
The predicted salary is between 42000 - 84000 £ per year.
Join to apply for the Software Engineer, Systematic Equity role at Millennium
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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)
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
Investment Management
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Software Engineer, Systematic Equity employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Systematic Equity
✨Tip Number 1
Familiarise yourself with the latest trends in systematic equity trading and technology. Understanding how emerging technologies can enhance trading strategies will give you an edge during interviews.
✨Tip Number 2
Network with professionals in the finance and trading sectors. Attend industry events or webinars to connect with potential colleagues at Millennium, as personal referrals can significantly boost your chances.
✨Tip Number 3
Brush up on your Python skills, especially focusing on libraries like pandas and numpy. Being able to demonstrate your proficiency in these tools during technical discussions will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with algorithms and data structures in detail. Be ready to explain how you've optimised code in past projects, as this is crucial for the role at Millennium.
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 quantitative trading or finance. Emphasise your Python programming skills and any experience with scientific libraries like pandas and numpy.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role at Millennium and explain how your background aligns with their needs. Mention specific projects or experiences that demonstrate your ability to develop high-performance trading systems.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your understanding of algorithms, data structures, and performance optimisation, as well as any familiarity with C/C++, SQL, or cloud computing.
Prepare for Technical Questions: Anticipate technical questions related to software development and quantitative analysis. Be ready to discuss your problem-solving approach and provide examples of how you've optimised code or developed algorithms in past roles.
How to prepare for a job interview at Millennium
✨Showcase Your Technical Skills
Make sure to highlight your strong Python programming skills and familiarity with scientific libraries like pandas and numpy. Be prepared to discuss algorithms, data structures, and performance optimisation techniques, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
During the interview, be ready to tackle technical problems or case studies that may be presented. This will showcase your analytical thinking and problem-solving skills, which are essential in a fast-paced trading environment.
✨Communicate Clearly
Excellent communication skills are vital for this position. Practice explaining complex technical concepts in simple terms, as you will need to collaborate closely with quantitative researchers and other teams.
✨Understand Risk Management
Familiarise yourself with risk management principles and compliance requirements relevant to trading systems. Being able to discuss how you would incorporate these into your work will demonstrate your understanding of the industry's standards.
