Machine Learning Intern - Political Event & Financial Market Analysis
Swing Phi | Investment Research Startup | Remote
About Us
Swing Phi is an innovative investment research startup focused on political event studies and their impact on financial markets. We analyze federal contracts, congressional trading patterns, and capital market movements to provide unique insights for investment decision-making.
Role Overview
We're seeking a highly motivated Machine Learning Intern/Associate to help build and fine-tune AI models that analyse the intersection of political events and financial markets. You'll work on developing systems that can identify correlations between political actions and market movements and event prediction.
What You'll Do
- Fine-tune large language models using Claude AI API for political and financial text analysis
- Develop algorithms to analyze federal contracts and congressional trading disclosures
- Build correlation models between political events and stock price movements
- Create data pipelines for processing government data sources (SEC filings, congressional disclosures)
- Implement sentiment analysis and event extraction from political news and documents
- Design and test predictive models for political event impact on markets
- Work with time series financial data and statistical correlation analysis
Required Qualifications
- Strong academic background in Computer Science, Mathematics, Statistics, or related quantitative field
- Hands-on machine learning experience with transformer models and fine-tuning techniques
- Python proficiency including pandas, numpy, scikit-learn, transformers (Hugging Face)
- API integration experience - preferably with language model APIs
- Statistical analysis skills - understanding of correlation, regression, and time series analysis
- Financial data familiarity - basic understanding of stock markets, trading data structures
- Data engineering capabilities - experience cleaning, structuring, and processing large datasets
- Self-directed learning ability - comfortable working in a fast-paced startup environment
Preferred Qualifications
- Experience with financial sentiment analysis or political data analysis
- Knowledge of government data sources and formats
- Background in quantitative finance or econometrics
- Experience with prediction markets or event-driven strategies
- Previous internships in fintech, trading, or political research
- Familiarity with web scraping and API data collection
What We Offer
- Hands-on experience building cutting-edge AI systems for financial markets
- Mentorship from experienced researchers and engineers
- Flexible remote work arrangement (you have full control over your schedule)
- Opportunity to work on novel research at the intersection of politics and finance
- Potential for partner engineer conversion based on performance
Who Should NOT Apply
Please do not apply if you:
- Are looking for a traditional software development role without ML/AI focus
- Have no experience with machine learning or statistical analysis
- Are uncomfortable working with financial or political data
- Expect extensive hand-holding or structured training programs
- Are seeking a role focused primarily on web development, mobile apps, or general IT
- Have no programming experience beyond basic coursework
- Are looking for a purely research role without hands-on implementation
- Cannot commit to the internship duration and time requirements
- Are expecting a large corporate internship experience with established processes
Application Requirements
Please submit:
- Resume highlighting relevant technical experience and projects
- Cover letter explaining your interest in political event analysis and financial markets
- Code samples or GitHub repository demonstrating ML/Python skills
- Brief project description (1-2 paragraphs) of a relevant data analysis or ML project you've completed
DON'T APPLY IF YOU ARE LOOKING FOR A CPT/OPT
Swing Phi is an equal opportunity employer committed to diversity and inclusion.