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 productivityDesign, develop, and maintain software tools, platforms, and frameworks that enhance the efficiency and effectiveness of research activities, including data gathering, preprocessing, analysis, and model developmentIdentify and implement advanced data processing techniques, algorithms, and statistical methods to optimize research workflows and enhance data analysis capabilitiesLeverage your expertise in software engineering, data engineering, and machine learning to build scalable and robust systems that facilitate large-scale data analysis and experimentationConduct code reviews, provide technical guidance, and mentor junior research engineers to ensure code quality, maintainability, and adherence to best practicesCollaborate with cross-functional teams, including quantitative researchers, data scientists, and engineering professionals, to integrate research tools and systems into the existing infrastructureAssist in the evaluation and implementation of third-party tools, libraries, and data sources that can enhance the research processParticipate in research discussions, contribute ideas, and provide technical expertise to improve research methodologies and strategiesContribute to the development and maintenance of documentation, user guides, and training materials related to research tools and processesSkill 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 fieldExceptional Python programming skills, with a focus on building scalable and efficient systemsExperience with graph (DAG) representation, analysis, and processing using tools like NetworkXExperience with open source distributed computing tools in Python, such as Dask or RayProficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks (e.g., Pandas, Plotly, SciPy)Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative researchSolid understanding of the differences between L1, L2 and L3 market tick dataExperience with AWS, Linux and DockerExcellent problem-solving skills and the ability to design practical solutions to complex research challengesStrong communication and collaboration skills to effectively work with cross-functional teams and translate research requirements into technical solutionsExperience in recruiting, mentoring, and guiding junior team members is preferredAbility to travel periodically between our offices in London, NYC, and Zug, SwitzerlandAre 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.

The base salary for this role is anticipated to be between $150,000 and $225,000. This anticipated base salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.#J-18808-Ljbffr