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- Tasks: Join a dynamic team to develop trading infrastructure and data engineering tools.
- Company: Millennium is a leading global hedge fund focused on tech-driven market innovations.
- Benefits: Enjoy a fast-paced environment with excellent career growth opportunities.
- Why this job: Be part of a collaborative culture that values innovation and transparency in trading.
- Qualifications: Master’s or PhD in a technical field with strong programming skills in C++ and Python.
- Other info: Ideal for those with 3+ years in a computational role, especially in finance or tech.
The predicted salary is between 43200 - 72000 £ per year.
Quantitative Developer, Systematic Equities
Quantitative Developer, Systematic Equities
We are seeking a quantitative developer to partner focus on the development and subsequent optimization of infrastructure supporting the overall development and production of quantitative trading models. The ideal candidate will work directly with the quantitative researcher(s) and senior portfolio manager.
This team member will be responsible for the implementation of technology to enable large-scale computational efforts in quantitative research, as well as related efforts, such as the preparation and transformation of data and other operational tasks.
Preferred Location
London or Dubai preferred
Principal Responsibilities
- Partner closely with the Portfolio Manager to develop data engineering and prediction tools primarily for the systematic trading of equities
- Develop software engineering solutions for quantitative research and trading
- Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team
- Build and maintain robust data pipelines and databases that ingest and transform large amounts of data
- Develop processes that validate the integrity of the data
- Implementation and operation of systems to enable quantitative research (i.e. large scale computation and serialization frameworks)
- Live operation of such systems, including monitoring and pro-active detection of potential problems and intervention
- Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research
- Collaborate with the PM and the trading group in a transparent environment, engaging with the whole investment process
Preferred Technical Skills
- Expert in Python and/or KDB/Q
- 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
- Excellent communication, problem-solving, and analytical skills, with the ability to quickly understand and apply complex concepts
Preferred Experience
- 2+ years of experience in algorithmic trading systems development, preferably in systematic equity trading markets.
- Experience working with and centralizing multiple vendor data sets
- Experience collaborating effectively with cross functional teams, multitasking and adapting in a fast-paced environment
Highly Valued Relevant Experience
- 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
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Quantitative Developer, Systematic Equities employer: Millennium Management
Contact Detail:
Millennium Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer, Systematic Equities
✨Tip Number 1
Make sure to familiarize yourself with the specific technologies mentioned in the job description, such as C++, Python, and Linux. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during discussions.
✨Tip Number 2
Engage with the quantitative finance community online. Participate in forums or groups focused on systematic trading and quantitative development. This can help you gain insights into industry trends and potentially connect you with current employees at Millennium.
✨Tip Number 3
Prepare to discuss your previous projects that involved data engineering and prediction tools. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will showcase your problem-solving skills and your ability to work in a collaborative environment.
✨Tip Number 4
Stay updated on the latest advancements in machine learning and statistical techniques. Being knowledgeable about current research and tools will not only impress the hiring team but also show your commitment to continuous learning in this fast-paced field.
We think you need these skills to ace Quantitative Developer, Systematic Equities
Some tips for your application 🫡
Tailor Your Resume: Make sure to customize your resume to highlight your experience in quantitative development, particularly in systematic trading and data engineering. Emphasize your technical skills in C++ and Python, as well as any relevant experience with financial data.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in the Quantitative Developer position at Millennium. Discuss your passion for leveraging technology in finance and how your background aligns with the responsibilities outlined in the job description.
Highlight Relevant Projects: Include specific examples of projects you've worked on that demonstrate your ability to develop software solutions for quantitative research and trading. Mention any experience with data pipelines, validation processes, or large-scale computation systems.
Follow Application Instructions: When submitting your application, ensure you reference REQ-19460 in the subject line as specified. This attention to detail shows your ability to follow instructions and can make a positive impression on the hiring team.
How to prepare for a job interview at Millennium Management
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in C++ and Python. Highlight specific projects where you've utilized these languages, especially in a quantitative or trading context. This will demonstrate your technical proficiency and relevance to the role.
✨Understand the Trading Infrastructure
Familiarize yourself with the systematic trading infrastructure and data pipelines. Be ready to explain how you would approach building and maintaining these systems, as well as any relevant experience you have in this area.
✨Discuss Collaboration with Portfolio Managers
Since the role involves partnering closely with the Portfolio Manager, think of examples where you've successfully collaborated with others in a technical environment. Emphasize your communication skills and ability to work transparently within a team.
✨Stay Current on Technologies
Demonstrate your knowledge of state-of-the-art technologies and tools relevant to quantitative development. Discuss any recent advancements or tools you've explored, and how they could be applied to enhance trading strategies.
