Numus is hiring Web3 Senior Quantitative Research Engineer

Desired Qualifications

We are looking for an experienced Quantitative Research Engineer to 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.

Duties & Responsibilities

• This role will be based in London, NYC or Zug (Switzerland), with the ability to travel periodically *
  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.

Other

Previous experience at a quantitative hedge fund is strongly preferred.
Master s or Ph.D. in Computer Science, Engineering, Data Science, or a related field Strong Python programming skills, with a focus on building scalable and efficient systems Proficiency in data processing, analysis, and visualization tools, libraries, and frameworks Solid understanding of statistical modeling, machine learning techniques, and their practical applications in quantitative research Experience with AWS 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 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. The salary for this role is anticipated to be between $150,000 and $250,000. This anticipated 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.