Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate with researchers to enhance their productivity through innovative tools and systems.
- Company: Numeus Group is a leading digital asset investment firm focused on collaboration and technology.
- Benefits: Enjoy a dynamic startup environment with opportunities for mentorship and professional growth.
- Why this job: Make a real impact in a cutting-edge field while working with passionate professionals.
- Qualifications: 4+ years of experience in quantitative research, strong Python skills, and a relevant Master's or Ph.D.
- Other info: Based in London, with travel opportunities to NYC and Zug.
The predicted salary is between 43200 - 72000 £ per year.
Join to apply for the Quantitative Research Engineer role at NUMEUS GROUP
2 weeks ago Be among the first 25 applicants
Join to apply for the Quantitative Research Engineer role at NUMEUS GROUP
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from NUMEUS GROUP
Numeus is a diversified digital asset investment firm built to the highest institutional standards, combining synergistic businesses across Alpha Strategies, Trading, and Asset Management.
Numeus was founded by successful executives with decades of experience across the finance, blockchain and technology industries, with a shared passion for digital assets. Our values are grounded in an open approach based on connectivity, collaboration, and partnerships across the digital asset ecosystem. People and technology are at the core of everything we do.
We are looking for an experienced Quantitative Research Engineer to work on our data and research platforms and partner closely with our quantitative researchers to enable and enhance their research productivity. In this role, you will apply your expertise in engineering and data science to develop essential and innovative tools, systems, and methodologies that streamline the research process, improve data analysis and simulation capabilities, and drive research efficiencies. This role requires a strong technical background, excellent problem-solving skills, and the ability to work closely with cross-functional teams.
Key Responsibilities:
- Collaborate with quantitative researchers to understand their workflow, challenges, and requirements, and provide technical solutions to improve their research productivity
- Design, develop, and maintain software tools, platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model development
- Identify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilities
- Leverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate large-scale data analysis and experimentation
- Conduct code reviews, provide technical guidance, and mentor junior research engineers to ensure code quality, maintainability, and adherence to best practices
- Collaborate with cross-functional teams, including quantitative researchers, data scientists, and engineering professionals, to integrate research tools and systems into the existing infrastructure
- Assist in the evaluation and implementation of third-party tools, libraries, and data sources that can enhance the research process
- Participate in research discussions, contribute ideas, and provide technical expertise to improve research methodologies and strategies
- Contribute to the development and maintenance of documentation, user guides, and training materials related to research tools and processes
Skill Set and Qualifications:
- 4+ years experience working in close partnership with quantitative researchers to develop, deploy and maintain quantitatively-driven alpha strategies. Previous experience at a quantitative hedge fund is strongly preferred.
- Masters or Ph.D. in Computer Science, Engineering, Data Science, or a related field
- Exceptional Python programming skills, with a focus on building scalable and efficient systems
- Experience with graph (DAG) representation, analysis, and processing using tools like NetworkX
- Experience with open source distributed computing tools in Python, such as Dask or Ray
- Proficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks
- Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research
- Solid understanding of the differences between L1, L2 and L3 market tick data
- Experience with AWS, Linux and Docker
- Excellent problem-solving skills and the ability to design practical solutions to complex research challenges
- Strong communication and collaboration skills to effectively work with cross-functional teams and translate research requirements into technical solutions
- Experience in recruiting, mentoring, and guiding junior team members is preferred
- Based in London, with the ability to travel periodically to our offices in NYC and Zug, Switzerland
Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Finance and Information Technology
Referrals increase your chances of interviewing at NUMEUS GROUP by 2x
Sign in to set job alerts for “Research Engineer” roles.
Quantum Algorithms Scientist – Optimization
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Research Scientist – Generative AI Red Teaming (London or Paris)
London, England, United Kingdom 2 weeks ago
Fundamental AI Research, Dubbing – Research Scientist
London, England, United Kingdom 2 weeks ago
Research Scientist, Quantum Chemistry and Machine Learning, London London
London, England, United Kingdom 2 weeks ago
Machine Learning Scientists and Engineers: AI for Quantum
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 2 weeks ago
Research Scientist Quantum Chemistry and Machine Learning London
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 5 months ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 hours ago
Research Scientist (Quantum Chemistry and Machine Learning), London
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
Data Scientist, Internship, United Kingdom – BCG X
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
Research Scientist Intern, Language Generative AI
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
Interested in future UK-based Engineering opportunities?
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 5 hours ago
Greater London, England, United Kingdom 1 week ago
Junior Quantitative Researcher – eTrading
London, England, United Kingdom 4 weeks ago
London, England, United Kingdom 4 months ago
Machine Learning Engineer for Game Technology
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Earth Observation Scientist – Coal Mine Methane
London, England, United Kingdom 1 week ago
Hampton, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Contact Detail:
NUMEUS GROUP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Research Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, Dask, and NetworkX. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Engage with the quantitative research community online. Join forums, attend webinars, or participate in discussions related to quantitative finance and data science. This not only helps you stay updated but also allows you to network with professionals who might provide insights or referrals.
✨Tip Number 3
Prepare to discuss your previous experiences in detail, especially those that involved collaboration with quantitative researchers. Be ready to share specific examples of how you improved research productivity or solved complex problems in your past roles.
✨Tip Number 4
Showcase your problem-solving skills by preparing for technical interviews. Practice coding challenges and algorithm questions that are relevant to quantitative research. This will demonstrate your ability to think critically and apply your knowledge effectively.
We think you need these skills to ace Quantitative Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research and software engineering. Emphasise your skills in Python, data processing, and any previous work with quantitative hedge funds.
Craft a Strong Cover Letter: In your cover letter, express your passion for digital assets and how your background aligns with Numeus Group's values. Mention specific projects or experiences that demonstrate your problem-solving skills and ability to collaborate with cross-functional teams.
Showcase Technical Skills: Include specific examples of your technical expertise, such as your experience with distributed computing tools like Dask or Ray, and your understanding of statistical modelling and machine learning techniques. This will help you stand out as a candidate.
Prepare for Technical Questions: Be ready to discuss your technical skills and past projects in detail during the interview process. Think about how you can explain complex concepts clearly and how you've applied your skills to solve real-world problems.
How to prepare for a job interview at NUMEUS GROUP
✨Understand the Role
Before the interview, make sure you thoroughly understand the responsibilities of a Quantitative Research Engineer. Familiarise yourself with the tools and methodologies mentioned in the job description, such as Python programming, data processing techniques, and statistical modelling.
✨Showcase Your Technical Skills
Be prepared to discuss your technical expertise in detail. Highlight your experience with graph representation, distributed computing tools, and any relevant projects you've worked on. Consider bringing examples of your work or code snippets to demonstrate your capabilities.
✨Collaborative Mindset
Since the role involves working closely with quantitative researchers and cross-functional teams, emphasise your collaboration skills. Share examples of how you've successfully partnered with others to solve complex problems or improve research productivity in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team's current challenges, the tools they use, and how they measure success in their research efforts. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
