Fundamental Equities Data Analyst

Overview

A leading global alternative investment firm is seeking a Fundamental Equities Data Analyst to join its New York, Stamford, San Francisco, Chicago or Miami offices.

The firm is looking for bright, motivated, and collaborative people to join and grow with the team — more than 90% of the leaders were promoted from within.

Key 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. Specifically, you will:

• 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, Knowledge & Experience

• 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.

Person Specification

• Staying current on the evolving alternative data market and its role in discretionary investing
• Speaking with experts both inside and outside the firm to understand data needs and offerings
• Analytical thinking and sifting through available data to find “the answer”
• Working in a fast-paced environment that may require switching gears to address business needs
• Working as part of a cross-functional team made up of investment, research, and compliance professionals

Company Ethics

• Integrity – You demonstrate 100% commitment to the highest ethical standards
• Ownership – You take charge of your work, uphold your commitments, and always do your best
• Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time
• Humility – You welcome and are receptive to feedback and learn from past mistakes
• Adaptability – You can triage business needs and context switch quickly and efficiently
• Admirability – You elevate the room through your work ethic, domain knowledge, and work product

Company Benefits

• Fully-paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more