Square Kettle LLC. · 1 month ago
Spring 2026 Quant Internship
United States
Internship
Remote
Intern
Start in 2026 SpringSquare Kettle LLC is a quantitative trading collective developing high-performance intraday trading systems. They are seeking a Quant Internship to assist in various roles including algorithm development, software engineering, and quantitative research, focusing on building trading strategies, improving backtesting systems, and analyzing financial data.
Financial Services
Responsibilities
Build intraday and short-horizon trading algorithms
Engineer signals using volatility, liquidity shifts, and price-action structures
Implement and test strategy logic in Python/C++
Run simulations using our custom backtesting engine
Collaborate with Research on feature development and statistical validation
Analyze execution behavior, drawdowns, and regime performance
Extend our in-house backtester with new modules, analytics, and plug-ins
Build dashboards, data pipelines, and execution simulators
Optimize performance and profile bottlenecks
Design clean, testable, modular engineering components
Build tooling that helps Algo Dev and Research experiment faster
Work with medium-to-large datasets in real market environments
Read and analyze research papers in statistics, econometrics, ML, and microstructure
Implement models such as HAR-RV, GARCH, HMMs, order-flow imbalance models, etc
Run time-series experiments with rigorous statistical validation
Build forecasting frameworks and evaluate robustness
Conduct feature engineering and signal quality analysis
Collaborate with Algo Dev on integrating research into strategy logic
Qualification
Required
Strong Python skills (NumPy, pandas)
Familiarity with markets, order books, or trading concepts
Experience building logical systems or strategy prototypes
Ability to think in abstractions and test hypotheses
Strong analytical and debugging skills
Curiosity and creativity — someone who experiments
Strong Python and/or C++ engineering fundamentals
Experience with systems design, data engineering, or backend architectures
Comfort with visualization frameworks (Plotly, Dash, Streamlit)
Ability to write clean, maintainable, high-quality code
Strong background in statistics, math, econometrics, or ML
Experience with model implementation in Python
Understanding of inference, optimization, and time-series analysis
Ability to run significance tests, bootstrap CIs, and robustness checks
Strong communication skills and ability to write research summaries
Curiosity about markets, data, and patterns
Preferred
Experience with threading, async, or performance optimization is a plus
Benefits
Percentage-based revenue share on strategies you build
Access to real trading research and real-time systems
Personalized financial learning sessions
High ownership and mentorship from the founding team
Revenue share for tools/infrastructure that directly impact strategies
Extremely hands-on engineering experience
Direct mentorship from infrastructure engineers and traders
Flexible, high-ownership environment
Performance-based revenue sharing on research that becomes production
Deep exposure to real quant modeling and market microstructure
High-impact projects and autonomy
Supportive mentorship from both engineering and trading teams
Company
Square Kettle LLC.
Square Kettle is a company founded to develop theories surrounding global derivatives markets.
Founded in 2023
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase