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- Tasks: Develop and enhance systematic trading platforms for global equity strategies.
- Company: Join Millennium, a leading global hedge fund focused on tech-driven market innovations.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and professional growth.
- Why this job: Be part of a cutting-edge team that values innovation and collaboration in finance.
- Qualifications: Bachelor's or Master's in STEM; expertise in KDB/Q, Python, and quantitative analysis required.
- Other info: Ideal for self-motivated individuals eager to learn in a fast-paced setting.
The predicted salary is between 43200 - 84000 £ per year.
Quantitative Developer, Systematic Equities
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Job Description: Quantitative Developer, Systematic Equities
Please direct all resume submissions to .
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.
Job Description
We are seeking a quantitative developer to partner with the Senior Portfolio Manager in developing a systematic backtesting, visualization/analyzing, and trading platform for global equity strategies.
Location
London or Dubai preferred
Principal Responsibilities
- Collaborate with the Senior Portfolio Manager and other team members to implement and improve an efficient systematic equity backtester tool used for both simulation and live trading
- Create visualization and analyzing tools for the input and output of the backtest
- Develop, optimize, and maintain software applications for larger scale equity trading
- Work closely with infrastructure team to connect trading strategies to the firm’s trading infrastructure and connectivity
- Conduct thorough testing and debugging of software components, resolving any issues or discrepancies
Preferred Technical Skills
- Expert in KDB/Q and Python
- Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience
- Good understanding of using Slurm or similar parallel computing tools
- Bachelor\’s or Master\’s degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University
- Proficient in quantitative analysis, mathematical modelling, statistics, regression, and probability theory
- Proficient in professional software development methodologies, version control systems, unit testing and debugging tools, and micro-services architecture
- Deep understanding of financial markets, including equity markings, corporate actions, hedging
- Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts
Preferred Experience
- 3-5+ years of experience in algorithmic trading systems development, preferably in systematic equity trading markets
- Experience building analytic tools using KDB
- Experience using tools, such as MOSEK, for systematic equity hedging and optimizing
- Experience working with and centralizing multiple vendor data sets
- Experience analyzing metrics for performance and risks for systematic equity trading
- Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment
Highly Valued Relevant Attributes
- Entrepreneurial mindset
- Ability to multitask and adapt
- Curiosity and eagerness to learn and grow professionally
- Self-motivated, detail-oriented, and able to work independently in a fast-paced environment
Target Start Date
- ASAP (maximum NCA of 3 months)
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance and Sales
-
Industries
Investment Management
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Quantitative Developer, Systematic Equities employer: Millennium
Contact Detail:
Millennium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer, Systematic Equities
✨Tip Number 1
Familiarise yourself with KDB/Q and Python, as these are essential skills for the role. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your expertise.
✨Tip Number 2
Network with professionals in the finance and tech sectors, especially those involved in algorithmic trading. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in systematic equities.
✨Tip Number 3
Stay updated on the latest developments in financial markets and trading practices. Subscribe to relevant journals or follow influential figures in the field on social media to gain insights that could be beneficial during interviews.
✨Tip Number 4
Prepare to discuss your experience with quantitative analysis and mathematical modelling in detail. Be ready to provide examples of how you've applied these skills in previous roles, particularly in relation to algorithmic trading systems.
We think you need these skills to ace Quantitative Developer, Systematic Equities
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative development, particularly with KDB/Q and Python. Emphasise any work you've done with systematic equity trading systems and your familiarity with data science tools.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as developing backtesting tools or collaborating with cross-functional teams.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include your proficiency in modern data science stacks and any experience with machine learning, as these are crucial for the role. Use specific examples to demonstrate your expertise.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication, problem-solving, and adaptability. These are highly valued for this position, so provide examples of how you've successfully collaborated with others or tackled complex challenges in previous roles.
How to prepare for a job interview at Millennium
✨Showcase Your Technical Skills
Make sure to highlight your expertise in KDB/Q and Python during the interview. Be prepared to discuss specific projects where you've used these technologies, especially in developing algorithmic trading systems.
✨Demonstrate Your Analytical Mindset
Since the role involves quantitative analysis and mathematical modelling, be ready to solve problems on the spot. Practice explaining your thought process clearly, as this will showcase your analytical skills and ability to apply complex concepts.
✨Familiarise Yourself with Financial Markets
Understand the basics of equity markets, corporate actions, and hedging strategies. Being able to discuss recent market trends or innovations will show your genuine interest and knowledge in the field.
✨Prepare for Team Collaboration Questions
Expect questions about your experience working in cross-functional teams. Think of examples where you successfully collaborated with others, particularly in fast-paced environments, to demonstrate your adaptability and teamwork skills.
