An elite start up unit inside of a large hedge fund is currently recruiting for multiple quant developers to join a senior portfolio manager who specializes in statistical arbitrage trading strategies.
As a quant developer in this group, you will develop, implement, and optimize quantitative models and strategies while collaborating with portfolio managers, researchers, and developers to design and execute statistical arbitrage strategies that drive alpha generation and enhance trading performance.
Key Responsibilities:
- Assist with implementation of systematic trading strategies focused on statistical arbitrage.
- Build out an automated trading system, data pipelines and infrastructure
- Design, backtest, and optimize trading models using advanced statistical and machine learning techniques.
- Collaborate with portfolio managers to integrate quantitative models into the trading process.
- Assist with scoping the long technical direction of the group
Qualifications:
- Bachelor's, Master's, or Ph.D. in a quantitative discipline such as Mathematics, Statistics, Computer Science, or Financial Engineering.
- Strong programming skills in Python, R, or C++.
- Experience with statistical analysis, machine learning, and data visualization.
- Knowledge of financial markets and trading strategies, particularly in statistical arbitrage would be ideal
