Junior Quantitative Researcher

Role Overview and Work Environment

As a Junior Quantitative Researcher at BIT Capital, you will manage alpha signal and risk model development for Europe's top-performing technology investment portfolios. Reporting to the Director of Systematic Strategies & Risk, you will work alongside a tight-knit quant team collaborating closely with Portfolio Management and Fundamental Research.

Primary Responsibilities

• You will take complete responsibility for the lifecycle of alpha signals and risk models used in highly active, benchmark-independent portfolios focused on technology companies, with portfolio turnover approximately three to four times annually.
• Conduct rigorous quantitative validation of hypotheses generated by the fundamental research team, retaining only those signals that demonstrate out-of-sample robustness and eliminating unsupported ideas based on empirical data.
• Divide your time roughly 70% on research activities such as idea generation and backtesting, and around 30% on developing production-quality code for implementing these models into live trading systems.
• Transform economic theories into practical, testable time-series models incorporating techniques like stationarity testing, autocorrelation, AR, MA, ARIMA models, and regularized regression methods.
• Develop algorithms using Python, SQL, and AWS infrastructure including Snowflake data warehousing, applying large language models (LLMs) to extract tradeable signals from unstructured alternative data sources.

Candidate Profile

• Possesses one to two years of full-time experience in quantitative research or data science within investment management, or significant internship experience in these fields during academic studies.
• Holds a Master’s degree or PhD in mathematics, physics, computer science, statistics, economics, or finance, with outstanding academic results.
• Demonstrates proficiency in probability theory, regression analysis, time-series methods, and foundational machine learning concepts frequently utilized by the team.
• Has strong programming capabilities in Python and SQL.
• Experience leveraging large language models (LLMs) for research purposes, personal investment strategy design, or side projects.
• Fluent in English for professional communication; German language skills are not required.

Applicant Considerations

• If you prefer to maintain or monitor pre-existing models rather than develop new ones, this role may not be suitable, as ownership extends from hypothesis through backtest to live deployment.
• If you seek high-frequency trading or purely systematic quantitative research roles, this position differs by focusing on long-only, quantamental investment approaches integrating both fundamental and systematic analysis.

Personal Attributes

• Passion for equities, financial markets, and technology sectors.
• Interest in artificial intelligence with a drive to automate and innovate within your responsibilities.
• A keen curiosity and a dedication to ongoing learning and self-improvement.
• Effective collaborator who flourishes in a high-performance, team-oriented setting.
• Creative thinker comfortable navigating ambiguity and generating novel ideas.

What BIT Capital Offers

• Opportunity to contribute meaningfully to a successful European asset management firm, influencing a focused, high-conviction technology portfolio.
• Access to extensive datasets, sophisticated research tools, and proprietary alternative data unavailable at typical asset managers.
• Work within a motivated and diverse international team of 15 nationalities, characterized by flat hierarchies and direct pathways to management and investors.
• Immediate ownership of impactful work, significant learning prospects, and a culture fostering transparent and constructive feedback.

About BIT Capital

BIT Capital combines a leading asset management legacy with startup agility, offering investment opportunities aligned with emerging technology mega trends. The team expertly identifies future technology leaders early on, supporting them with a range of experts including financial markets professionals, sector specialists, data engineers, and software developers. Their flagship fund is among the highest performing equity offerings in Europe, recognized with multiple awards.

Recruitment Process Notice

The hiring process utilizes AI-supported digital tools to assist with the initial screening of applications. These automated tools provide supportive analysis, but all employment decisions involve human review to ensure fairness and comprehensiveness.