About Cosmos Forest
Cosmos Forest LLC is an early-stage quantitative investment and technology firm founded by a team of traders and technologists.
We combine investment research, data science, and technology to develop systematic options strategies and build scalable trading and research infrastructure. Our approach is grounded in disciplined research, rigorous risk management, and the belief that better data and better tools can lead to better investment decisions.
As we continue to grow, we are building out our internal data and AI capabilities to support investment research, strategy development, and trading operations.

About the Role
We are looking for a Data Scientist to work closely with our investment team and engineers to build data-driven research and decision-making tools.
You will work on practical problems at the intersection of financial markets, data science, and technology—from collecting and structuring market data to identifying patterns, developing analytical models, and improving the tools our team uses to make investment decisions.
This is a hands-on role with significant ownership. You will have the opportunity to take projects from initial problem definition through data collection, analysis, modeling, visualization, and implementation.

What You’ll Do
Translate investment and research questions into well-defined data science problems and analytical workflows.
Analyze financial, market, and alternative datasets using statistical methods, time-series analysis, and machine-learning techniques.
Develop visualizations and analytical tools to identify patterns, trends, relationships, and potential market signals.
Build and maintain data workflows across the full lifecycle, including data sourcing, cleaning, transformation, feature engineering, quality control, modeling, and monitoring.
Develop reusable research tools and improve existing processes to reduce manual work and increase reliability.
Evaluate models and analytical approaches with appropriate validation techniques and a strong awareness of overfitting and data limitations.
Communicate findings clearly and translate analytical results into actionable insights for investment and trading decisions.
Collaborate directly with investment professionals and engineers in a fast-moving, entrepreneurial environment.
What We’re Looking For
Currently pursuing or recently completed a Master’s or PhD degree in Computer Science, Statistics, Applied Mathematics, Finance, Economics, Engineering, or another quantitative field.
Previous internship, research, academic, or professional experience in data science, machine learning, quantitative research, or analytics is preferred
Strong foundation in statistics, machine learning, and quantitative problem solving.
Proficiency in Python and experience with common data science libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn or equivalent tools.
Proficiency in SQL and experience working with structured and/or unstructured datasets.
Ability to work effectively with messy, incomplete, and heterogeneous data while maintaining strong standards for data quality and reproducibility.
Strong analytical judgment and the ability to distinguish statistically interesting results from practically useful insights.
High level of ownership, intellectual curiosity, and willingness to learn quickly.
Strong written and verbal communication skills.
Nice to Have
Experience working with financial markets, equities, options, derivatives, or alternative datasets.
Experience with time-series modeling, quantitative trading, portfolio analytics, or systematic investment research.
Familiarity with APIs, automated data pipelines, cloud infrastructure, or modern AI/LLM tools.
Personal investing or trading experience and a genuine interest in financial markets.
Why Cosmos Forest
This role provides an opportunity to work directly with the founding team and have meaningful influence on how our investment research and technology platform is built.
Rather than working on a narrow component of a large organization, you will be able to see your work move from an idea to an analytical tool—and ultimately into real investment decisions.
We value people who are curious, practical, intellectually rigorous, and excited to build.
Compensation: $25–$50/hour, depending on experience and qualifications.
Candidates currently authorized to work in the United States, including eligible CPT and OPT candidates, are welcome to apply.
3-Month Internship, with Potential to Convert to Full-Time

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