Quant Research Engineer — Power Cutting-Edge Research Tools

Numeus; Greater London; Hybrid; GBP 112,000 - 169,000; Full time

Job summary

A diversified digital asset investment firm seeks an experienced Quantitative Research Engineer to enhance research efficiency. The role demands 4+ years of experience in developing alpha strategies, a master's or Ph.D. in a relevant field, and expertise in software engineering, data science, and machine learning. You'll collaborate with quantitative researchers and improve their productivity through innovative tools and systems. A competitive salary between $150,000 and $225,000 is offered, along with additional compensation and benefits.

Benefits

Discretionary bonus

Health benefits

Dental benefits

Qualifications

• 4+ years experience in developing quantitatively-driven alpha strategies.
• Strong technical background in software engineering and data science.
• Ability to mentor and guide junior team members.

Responsibilities

• Collaborate with quantitative researchers to improve research productivity.
• Design and maintain software tools for data analysis.
• Implement advanced data processing techniques to optimize workflows.
• Conduct code reviews and provide technical guidance.
• Work with cross-functional teams to integrate research tools.

Skills

Experience with graph (DAG) representation

Experience with open source distributed computing tools in Python (Dask or Ray)

Proficiency in data processing and analysis (Pandas, Plotly, SciPy)

Solid understanding of statistical modeling and machine learning

Experience with AWS, Linux, and Docker

Strong communication and collaboration

Excellent problem-solving skills

Education

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

Job description

A diversified digital asset investment firm seeks an experienced Quantitative Research Engineer to enhance research efficiency. The role demands 4+ years of experience in developing alpha strategies, a master's or Ph.D. in a relevant field, and expertise in software engineering, data science, and machine learning. You'll collaborate with quantitative researchers and improve their productivity through innovative tools and systems. A competitive salary between $150,000 and $225,000 is offered, along with additional compensation and benefits.