We are seeking an equity researcher who combines strong quantitative and programming skills with sound fundamental intuition-or a clear willingness to develop it-about how companies operate and how business fundamentals drive stock performance. Exposure to medical or life-sciences research is a strong plus. This role is a key contributor to the Stock Selector Equity team, supporting the research, enhancement, and development of systematic investment strategies and innovative stock-selection models within the Equity Investment group. Primary Duties and Responsibilities • Conduct alpha factor research for global equity strategies by generating investment hypotheses and performing rigorous quantitative analysis • Apply advanced statistical and modeling techniques, grounded in fundamental insight, to datasets of varying scale; enhance existing models and explore new, data-driven research directions • Analyze global equity markets, industry dynamics, and macroeconomic trends to inform business, sector, and market-level forecasts • Incorporate domain knowledge-particularly in healthcare, biotechnology, or medical research-into systematic signals and investment models where relevant • Translate economic, scientific, and company-level insights into portfolio-relevant inputs Essential Skills and Qualifications: • Strong programming and quantitative modeling skills, with the ability to design, implement, and evaluate equity factor models • Solid understanding of how companies, industries, and markets function-or a demonstrated willingness and ability to learn quickly • Prior exposure to medical, biomedical, pharmaceutical, or life-sciences research (academic, industry, or applied), with the ability to interpret scientific or clinical data • Experience conducting empirical research using large datasets and advanced analytical techniques, including machine learning, NLP, and/or large language models • Proficiency in Python and SQL, with experience in data analysis and visualization • Working knowledge of alpha factor research, forecasting methods, and portfolio construction concepts • Intellectual curiosity, creativity, and the ability to blend technical rigor with economic and scientific intuition • Excellent written and verbal communication skills, with the ability to clearly explain complex ideas • High integrity and a collaborative, team-oriented mindset Education and Experience (Flexible): • Formal education is flexible; candidates with advanced graduate degrees in Finance, Economics, Data Science, Engineering, Medicine, or life-sciences-related fields are common, but equivalent skills and experience are equally valued • Typically 2-5 years of relevant research or modeling experience, though exceptional candidates outside this range will be considered Salary Range: 120,000 - 140,000 Disclaimer: The posted salary range represents the company's good faith estimate of the compensation for this position at the time of posting and the same is not a promise of a particular wage for any individual. Actual compensation may be dependent on a variety of factors including, but not limited to, the candidate's experience, education or skills, and other factors.