GLOBAL MARKETS

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.

Role Overview
We are looking for a Quantitative Researcher for our Quantitative Execution Services team to design and optimize algorithmic trading strategies through rigorous research, simulation, and performance analysis.

Key Responsibilities

• Develop internalization logic to enhance execution quality and reduce market impact.
• Create and refine trading signals using historical and real-time data.
• Build and maintain back-testing frameworks; run simulations to test robustness.
• Collaborate with Algo Developers, Strats, and Traders to deliver production-ready solutions.
• Monitor live trading performance and identify improvement opportunities.

Required Skills

• Passion for solving complex, data-driven problems.
• Strong programming in Python, C++, or Java; familiarity with Slang and KDB+ a plus.
• Solid foundation in linear algebra, probability, and statistics.
• Experience with data pipelines, debugging, and performance optimization.
• Excellent communication skills to present findings and influence design.
• Ability to work independently and in fast-paced, collaborative environments.
• Experience in electronic trading, quantitative research, or strategy development.

Preferred Attributes

• 1+ years in financial services or related domain.
• Experience combining alpha research or portfolio management with execution research
• Knowledge of market microstructure, execution algorithms, and quantitative modeling.
• Familiarity with data science and machine learning techniques and frameworks.