Quantitative Research Engineer

NUMEUS GROUP; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading digital asset investment firm is seeking a Quantitative Research Engineer to enhance research productivity through innovative tools and methodologies. The role demands strong technical skills, collaboration with researchers, and a focus on data science and engineering. Ideal candidates will have significant experience in quantitative research environments and a passion for solving complex challenges.

Qualifications

• 4+ years experience with quantitative researchers.
• Exceptional Python programming skills.
• Experience with distributed computing tools.

Responsibilities

• Collaborate with researchers to improve productivity.
• Design and maintain software tools for research.
• Implement advanced data processing techniques.

Skills

Python programming

Data processing

Statistical modeling

Machine learning techniques

Problem-solving

Collaboration

Education

Masters or Ph.D. in Computer Science, Engineering, Data Science

Tools

AWS

Linux

Docker

NetworkX

Dask

Ray

Job description

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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

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