Quantitative Research Intern - Remote

Overview

We are seeking a Quantitative Research Intern to support our efforts in market impact modeling, transaction cost analysis (TCA), and execution strategy optimization. This role is ideal for candidates with a strong background in applied mathematics, stochastic calculus, and quantitative finance, who are eager to contribute to the next generation of algorithmic execution solutions.

In Short

• Develop data-driven models for measuring slippage, market impact, and execution efficiency.
• Apply causal inference techniques to assess the impact of different execution strategies.
• Conduct research on optimal execution models, including implementation shortfall and order placement strategies.
• Use advanced calculus, probability theory, and time-series modeling to improve execution performance.
• Implement machine learning models to predict trade cost, slippage, and order routing performance.
• Explore reinforcement learning and stochastic optimization for trade execution strategies.
• Work with large-scale trading data to backtest execution models and evaluate performance.
• Translate academic research into practical execution strategies for minimizing transaction costs.
• Develop tools for real-time trade performance monitoring and TCA reporting.
• Strong foundation in calculus, stochastic processes, probability theory, and optimization.

Requirements

• Experience with causal inference frameworks and econometrics in financial modeling.
• Understanding of trade execution strategies (VWAP, TWAP, IS), price impact models, and TCA.
• Familiarity with algorithmic execution frameworks and liquidity dynamics.
• Strong Python skills (NumPy, Pandas, SciPy, StatsModels, PyTorch, or TensorFlow).
• Experience handling large financial datasets and running data-driven experiments.
• Capable of reading, synthesizing, and implementing findings from execution research papers.
• Ability to test, validate, and refine models using empirical data.

Benefits

• Innovative Environment: Lead the charge in financial innovation at a company that's at the forefront of integrating advanced quantitative techniques with traditional financial models.
• Expert Team: Work alongside the brightest minds in an environment that values bold ideas and radical solutions to complex problems.
• Professional Growth: Enjoy a vibrant company culture that promotes career development, continuous learning, and work-life balance.
• Compensation: Receive equity-only compensation, recognizing your contributions to our success.
• Work Hours: This is a part-time role requiring 20-30 hours per week.
• Fast Paced Work: We are looking for candidates to start immediately; if you are searching for Summer roles, please contact us at a later date.