Quantitative Researcher | Systematic Equity Strategies

About the role

This role focuses on generating alpha signals for systematic equity strategies. The Quantitative Researcher will support the signal research team by developing, backtesting, and modeling new equity alpha signals. This involves ensuring precision in data cleaning and model validation to maintain the integrity of the signal lifecycle.

A key aspect of the position is designing, building, and maintaining the proprietary tools and systems that support the quantitative signal research pipeline. This work contributes to Swissblock's systematic framework, which integrates algorithmic trading with market analysis to manage multi-strategy portfolios across asset classes.

Success in this role requires a candidate with 1-2 years of experience in equity quantitative research, specifically in signal research for systematic strategies. Meticulous execution, analytical rigor, and the ability to translate mathematical concepts into tradable strategies are essential. The firm values a collaborative mindset and a strong work ethic.

The compensation for this role ranges from $120,000 to $250,000 annually, with additional performance-based bonuses.

Skills that matter here

• Python: This role requires programming skills in Python to design and build tools for the quantitative signal research pipeline.
• data structures: A sound understanding of data structures is necessary for developing and maintaining the systems that underpin the research pipeline.
• statistics: Proficiency in standard statistics is needed for developing, backtesting, and modeling novel equity alpha signals.
• data algorithms: Knowledge of data algorithms is essential for building and maintaining the tools used in the quantitative signal research pipeline.

Who this role suits

• Someone with a background in quantitative equity research, specifically focused on signal research for systematic strategies.
• A person who is highly process-oriented and pays close attention to detail in research.
• An individual with strong problem-solving abilities who can translate complex mathematical concepts into practical strategies.
• A collaborative team member with a strong work ethic and clear communication skills.

From the employer

• Alpha Generation: Support the signal research team in the development, backtesting, and modeling of novel equity alpha signals.
• Process Refinement: Maintain a high standard of precision in data cleaning and model validation to ensure the integrity of the signal lifecycle.
• Systems Architecture: Design, build, and maintain the proprietary tools and systems underpinning the quantitative signal research pipeline.

• Domain Expertise: 1-2 years of professional experience in equity quantitative research, specifically focused on signal research for systematic strategies.
• Meticulous Execution: Attention to detail and a highly process-oriented approach to research.
• Analytical Rigor: Problem-solving abilities and the capacity to translate complex mathematical concepts into tradable strategies.
• Technical Proficiency: Programming skills (e.g., Python) with a sound understanding of data structures, standard statistics, and data algorithms.
• Academic Excellence: A Masters or PhD from a top-tier institution in a quantitative field (Applied Mathematics, Physics, Engineering, or Quantitative Finance).
• Character: Strong work ethic and a collaborative mindset.
• Communication: Clear and concise verbal and written communication skills in English.

• Ownership & Impact: A collaborative, high-ownership environment and excellent colleagues.
• Growth & Development: Empowerment and career development that grows with the business.
• Remote-Friendly Culture: Modern office in Baar, Switzerland, with the flexibility to work remotely several days per week.
• Compensation: Competitive compensation, including a performance-based annual bonus.
• Time Off: 25 days of paid leave.
• Community: Regular company events.
• Benefits: Progressive social benefits.