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.
Responsibilities
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.Qualifications
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#LI-Onsite #LI-GM1
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