L/S Data Analyst

Responsibilities

• As a data analyst embedded in an investing team, you will help drive innovation by leveraging a variety of data sources and systems
• You will work directly with a portfolio manager and their team of research analysts to connect data and fundamental research
• Your work will support investment theses and help inform investment decisions
• Help analyze a broad universe of Compliance-approved data to directly influence idea generation and investment decisions, with an emphasis on equities
• Design, build, and maintain data products and predictive models that enable analysis of key performance indicators (KPIs) and forward-looking metrics relevant to your specific sector
• Investigate and explore innovative approaches to extract meaningful information from complex datasets
• Develop agile, automated systems that rapidly ingest, synthesize, and analyze diverse sets of information in real-time, producing actionable insights to support timely decision-making
• Optimize and scale existing data infrastructure to enhance performance, reliability, and adaptability in handling complex, high-volume data streams
• Develop and maintain high-quality, efficient, and modular code, creating well-documented custom libraries and data pipelines that enhance the team's analytical capabilities and ensure reproducibility of results
• Stay on top of the newest technologies approved for use across the firm
• Partner with Compliance on various initiatives such as approved data sources, permissibility of systems, and analytics

Skills

• Undergraduate degree or higher
• Quantitative ability as demonstrated through relevant coursework or work equivalent
• Experience working with diverse data types including structured, unstructured (e.g., text), and time-series data
• Strong understanding of statistical concepts and their application to large-scale data analysis, with an interest in applying these skills to financial datasets
• Strong coding skills in a high-level programming language (e.g., Python, R, or similar)
• Familiarity with version control systems (such as Git) and collaborative development practices
• Strong data visualization skills, with experience in creating informative visualizations using coding languages like Python or R
• Strong analytical and problem-solving skills, with the ability to approach complex issues systematically and creatively
• Demonstrated capacity to translate business questions into data-driven solutions
• Team player with an entrepreneurial spirit and good communication skills
• Deep intellectual curiosity and lifelong-learning mindset
• Commitment to the highest ethical standards

Benefits

• 💼 Fully-paid health care benefits
• 🌟 Generous parental and family leave policies
• 🧘‍♂️ Mental and physical wellness programs
• 🤝 Volunteer opportunities
• 🎁 Non-profit matching gift program
• 🌈 Support for employee-led affinity groups representing women, minorities and the LGBT+ community
• 🎓 Tuition assistance
• 💰 A 401(k) savings program with an employer match and more

Salary

$150k - $180k yearly