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- Tasks: Develop investment models and trading strategies using quantitative techniques.
- Company: Numeus is a cutting-edge digital asset investment firm with a focus on innovation and collaboration.
- Benefits: Enjoy competitive salary, bonuses, health benefits, and the chance to work remotely.
- Why this job: Join a dynamic team in a fast-evolving industry where your ideas truly matter.
- Qualifications: Strong background in Mathematics, Statistics, or related fields; programming skills in Python and C++.
- Other info: Opportunity to travel between offices in NYC, London, and Zug.
The predicted salary is between 90000 - 180000 £ per year.
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 a Quantitative Researcher who can help us develop alpha through systematic trading strategies. You will work closely with experienced researchers, traders, and a technology team with deep domain expertise. The digital asset space is young, 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 complex investment ideas and develop algorithms that lead to trading decisions.
- Analyze investment model performance and behavior, aiming for constant improvements.
- Work closely with our team of experienced developers to translate investment models into production code.
- Educational background in technical field, preferably Mathematics, Statistics, Physics or Theoretical Computer Science.
- Solid experience in model building, backtesting, parameter optimization routines, execution engine design and performance tracking.
- 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++.
- Ability to travel periodically between our offices in NYC, 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 salary for this role is anticipated to be between $125,000 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.
Quantitative Researcher – Digital Assets employer: NUMEUS GROUP
Contact Detail:
NUMEUS GROUP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Digital Assets
✨Tip Number 1
Familiarise yourself with the latest trends in digital assets and quantitative research. This will not only help you understand the market better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the digital asset space. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors. Building relationships can often lead to job opportunities that aren't publicly advertised.
✨Tip Number 3
Brush up on your programming skills, particularly in Python and C++. Consider working on personal projects or contributing to open-source initiatives related to quantitative finance. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your approach to model building and data analysis in detail. Be ready to share specific examples of how you've applied quantitative techniques in past projects, as this will demonstrate your hands-on experience and problem-solving abilities.
We think you need these skills to ace Quantitative Researcher – Digital Assets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, model building, and programming skills. Emphasise any projects or roles that demonstrate your ability to work with large datasets and develop trading strategies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for digital assets and how your background aligns with Numeus' values. Mention specific experiences that showcase your analytical skills and ability to think creatively about data analysis.
Showcase Technical Skills: Clearly outline your programming proficiency in Python and C++. If you have experience with machine learning or statistical modelling, be sure to include examples of how you've applied these techniques in previous roles.
Highlight Collaborative Experience: Since the role involves working closely with teams, mention any past experiences where you collaborated with researchers, traders, or developers. This will demonstrate your ability to thrive in a team-oriented environment.
How to prepare for a job interview at NUMEUS GROUP
✨Showcase Your Analytical Skills
As a Quantitative Researcher, you'll need to demonstrate strong analytical skills. Be prepared to discuss your experience with model building and data analysis. Bring examples of past projects where you successfully applied quantitative techniques.
✨Familiarise Yourself with Digital Assets
While basic knowledge of the digital asset space is beneficial, it's important to show your enthusiasm for this rapidly evolving field. Research recent trends and developments in digital assets to discuss during the interview.
✨Prepare for Technical Questions
Expect technical questions related to programming, particularly in Python and C++. Brush up on your coding skills and be ready to solve problems or explain your thought process on algorithm development.
✨Emphasise Collaboration and Communication
Numeus values connectivity and collaboration. Highlight your ability to work in teams and communicate complex ideas clearly. Share experiences where you collaborated with others to achieve a common goal.
