Join a research-driven firm focused on proprietary capital.
CAS Research is looking for researchers, analysts, and engineers who want to work on quantitative research, data analytics, AI/ML, and software development for internal investment decisions and technology platforms.
A place to do meaningful research work.
The firm offers an environment focused on research discipline, intellectual curiosity, and long-term thinking.
Research Focus
Work on quantitative research, data analytics, and AI/ML applications for internal investment decisions.
Ownership
Small team environment where individual contributions directly impact research outcomes.
Continuous Learning
Work alongside experienced researchers and market professionals in a learning-oriented culture.
Current Openings
The firm is looking for researchers, analysts and an AI and automation intern who are interested in quantitative research, data analytics, and AI/ML for financial markets.
Research Analyst
Responsibilities
- Conduct research on equities, sectors, and macroeconomic trends
- Prepare research reports and market analysis
- Monitor market developments and track research outputs
- Support senior researchers with data-driven analysis
Requirements
- 2–3 years of experience in financial research or a related role
- Strong understanding of financial markets and valuation methods
- Proficiency in data analysis tools
- CFA / MBA (Finance) preferred
Quantitative Research Analyst
Responsibilities
- Develop quantitative models for research and analysis
- Conduct statistical analysis on market data
- Test research hypotheses using data-driven methods
- Collaborate with the research team on model development
Requirements
- 3–5 years of experience in quantitative research or data science
- Strong knowledge of statistics, probability, and mathematical modelling
- Proficiency in Python, R, or similar analytical tools
- MS/PhD in Quantitative Finance, Statistics, Mathematics, or related field preferred
AI and Automation Intern
Responsibilities
- Build and run the internal operations platform (Next.js, Neon Postgres) that replaces spreadsheets and hand entry across the firm's accounts
- Write LLM agents for recurring work: broker API pulls, reconciliation, PDF parsing from the inbox, and the daily reports
- Keep scheduled jobs self-healing on GitHub Actions, so a failed run retries itself and each new error joins the checks
- Put a dedup pass, a re-check and a human flag on every write before anything reaches a report
- Document what you build and walk the owners through results in plain language
Requirements
- Open to anyone with a background in Data Science, Computer Science or a related field
- Python and SQL, with a habit of checking data before trusting it
- Comfort with Next.js and Postgres, or the ability to pick them up quickly
- Hands-on with an LLM API and agent tooling (Claude API, MCP or similar) and GitHub Actions
- Clear written communication; the people reading your reports are not engineers
- Remote, with overlap to India working hours
Our Hiring Process
Application
Submit your resume and a short cover note. We review every application personally.
Intro Call
A 30-minute conversation to learn about you, your background, and your goals.
Case Study
A practical exercise relevant to the role — we value how you think, not just what you know.
Final Interview
Meet the leadership team. If it's a fit on both sides, we move fast.
Interested in joining CAS Research?
Get in touch to learn more about career opportunities.