Connecting clients to markets – and talent to opportunity

With 4,300 employees and over 400,000 retail and institutional clients from more than 80 offices spread across five continents, we’re a Fortune-100, Nasdaq-listed provider, connecting clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.

At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.

Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, you’ll have the opportunity to optimize processes and implement game-changing policies.

Primary duties will include: 

• Apply advanced statistical techniques and quantitative models to analyze and predict market behaviors.
• Design and implement algorithms to optimize trading strategies, including execution, hedging, and market impact minimization.
• Utilize large historical datasets to research and backtest new trading strategies and models.
• Develop models for short-term and medium-term pricing, as well as probability and risk management in trading scenarios.
• Work closely with trading, technology, and operations teams to integrate quantitative research into the trading infrastructure.
• Stay current with advancements in quantitative finance, machine learning, and AI, applying this knowledge to enhance trading strategies.
• This list of duties and responsibilities is not intended to be all-inclusive and can be expanded to include other duties or responsibilities that management deems necessary.

To land this role you will need:

• Quantitative Skills:
  • Strong background in statistical modeling, time-series analysis, and probability theory.
• Technical Proficiency:
  • Expertise in programming languages such as Python, Java, or C++.
  • Experience with machine learning frameworks and tools for quantitative analysis.
  • Familiarity with high-performance computing environments (including the cloud) and handling large datasets.
• Problem-Solving:
  • Excellent analytical and problem-solving skills, with the ability to apply quantitative methods to real-world trading challenges.
• Financial Knowledge:
  • Understanding of financial markets, trading strategies, and market microstructure.

Education / Certification Requirements: 

• Education: Advanced degree (Master’s or Ph.D.) in Mathematics, Statistics, Financial Engineering, Computer Science, or a related field.

Working environment:

• Hybrid