Trader

Empower Your Impact Through Innovation and Autonomy

Join a global, diversified alternative investment firm founded in 1989, where the mission is defined by evolution, innovation, and a relentless focus on delivering results for investors. Here, professionals are empowered with both independence and support, enjoying the autonomy to pursue ideas with conviction while benefiting from the backing of a global network committed to collaboration, disciplined risk management, and continuous learning. With opportunities to deepen expertise and accelerate development, talent is equipped to adapt, evolve, and build lasting impact over time.

Core Responsibilities

• Identify, evaluate, and execute timely market opportunities and equity index options trading strategies to generate profits, involving research and analysis for trade idea generation, testing, and implementation.
• Price and model equity index options and equity derivatives.
• Analyze large quantities of data and utilize machine learning and other statistical methods to derive patterns.
• Utilize portfolio optimization techniques to build and rebalance the portfolio dynamically.
• Analyze global stock earning events and market data to inform trading positions.
• Manage portfolio construction and implementation, including devising execution strategies and monitoring acceptable risk parameters.
• Actively communicate with all portfolio management team members throughout the trading day to drive an actively traded portfolio.

Required Qualifications

• Master's degree in Computer Science, Data Science, or a related field, with a demonstrated understanding of Machine Learning (ML) and Natural Language Processing (NLP).
• At least 1 year of experience with equity index options and/or index relative value trading, including modeling volatility surfaces.
• Mastery of option Greeks and strong experience coding with Python.
• Experience with trade order management systems, as well as trade flow and execution analysis and modeling.
• Experience developing and calibrating options execution algorithms for trade-level attribution, optimization, sizing, and pricing.
• Experience working with trading systems built with Python and C++ for real-time market data, monitoring, execution, and trade analysis.
• Experience developing trading ideas, gathering and analyzing trading requirements and challenges, and designing solutions using statistical analysis and quantitative methods.