Forteus is the asset management division of Numeus Group, a diversified digital asset investment firm built to the highest institutional standards across Alpha Strategies, Trading, and Asset Management. Forteus is backed by Schroders plc, one of Europe’s largest asset managers.

Our team brings decades of experience across finance, blockchain, and technology. We operate with institutional discipline and an entrepreneurial mindset, combining deep capital markets expertise with a conviction in the long-term significance of blockchain technology and digital assets.

We are seeking an experienced, fundamentally driven discretionary Portfolio Manager to lead a dedicated strategy focused on publicly listed equities with meaningful exposure to the blockchain and digital asset ecosystem. This includes technology providers, infrastructure companies, miners, exchanges, and financial services firms building in the space.

In this role, you will define the investment framework, drive stock selection, construct the portfolio, and manage risk. You will work alongside digital asset specialists, traders, and experienced investment professionals to build a differentiated, institutional-quality strategy.

Key Responsibilities:

• Manage a discretionary equity portfolio, with full accountability for position sizing, sector exposure, and risk management

• Apply a rigorous bottom-up research process to evaluate publicly listed companies across the blockchain and digital asset ecosystem

• Generate high-conviction long ideas grounded in deep financial analysis, competitive positioning, and management assessment

• Develop clear, defensible investment theses supported by detailed financial modeling and valuation analysis (DCF, comparables, scenario analysis)

• Continuously monitor portfolio holdings, industry developments, and evolving market structure to refine positioning

• Produce high-quality investment memos and communicate recommendations clearly to internal stakeholders and clients

• Contribute to broader thematic research at the intersection of digital assets and traditional financial markets
  
  

Skill Set and Qualifications:

• 5+ years of experience as a discretionary Portfolio Manager or Senior Fundamental Research Analyst within a hedge fund, asset manager, or investment bank, with a demonstrable track record

• Deep expertise in equity financial analysis, valuation, and portfolio construction

• Strong understanding of blockchain technology, digital asset market structure, and how public companies monetize this ecosystem

• Independent thinker with sound judgment and a disciplined investment process

• Ability to articulate complex investment ideas clearly and persuasively

• Proficiency in analytical tools such as Python or SQL is advantageous

• Fluent English speaker

If you are motivated by building and leading a focused strategy within a well-capitalized, institutionally backed platform — and by the opportunity to translate structural technological change into differentiated public equity investing — we would welcome a conversation.

• 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

• 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 field
• Exceptional Python programming skills, with a focus on building scalable and efficient systems
• Experience with graph (DAG) representation, analysis, and processing using tools like NetworkX
• Experience with open source distributed computing tools in Python, such as Dask or Ray
• Proficiency 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 research
• Solid understanding of the differences between L1, L2 and L3 market tick data
• Experience with AWS, Linux and Docker
• 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
• Ability to travel periodically between our offices in London, NYC, 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 $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.

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

Skill Set and Qualifications:

• 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++
• Fluent English speaker
• 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.