What are the responsibilities and job description for the Quantitative Researcher – Digital Assets position at 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 Researcher who can help us develop alpha in the digital asset markets through a diversified set of systematic trading strategies. You will work closely with experienced researchers, traders, and engineers with deep domain expertise. The digital asset space is fast-evolving and filled with innovative sources of alpha and trading opportunities.
Key Responsibilities:
- Employ a rigorous scientific approach to develop sophisticated investment models and deliver insights into how markets behave
- Apply quantitative techniques, like machine learning, to a vast and innovative array of datasets
- Create and test investment ideas and develop algorithms that drive trading decisions
- Analyze investment model performance and behavior, aiming for continuous improvement
- Work closely with our team of experienced developers to translate investment models into production code
Skill Set and Qualifications:
- 2 years within a quantitative investment research team with experience in alpha research, model building, backtesting, parameter optimization routines, execution engine design, and performance tracking
- Educational background in technical field, preferably Mathematics, Statistics, Physics or Theoretical Computer Science
- Strong analytical skills; experience working with, and analyzing, large datasets
- Strong mathematical and statistical modeling skills (e.g. time-series)
- Ability to think independently, creatively approach data analysis, and communicate complex ideas clearly
- Basic knowledge of the digital asset space is beneficial, but not required
- Intermediate programming background in Python and C
- Fluent English speaker
- Based in New York City, with the ability to travel periodically to our offices in London 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.
The base salary for this role is anticipated to be between $125,000 and $250,000. The anticipated base salary range is based on information as of the time this job post was created. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for a given candidate will be determined based on a number of factors, including their skills, qualifications and experience.
Salary : $125,000 - $250,000