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.

Retail: Empower individual investors – and yourself – in the world of retail through a range of different financial products rooted in innovation and market intelligence. From FX and CFDs to precious metals, master an exciting world of wealth management tools.

Position Purpose: The team is responsible for the hedging strategy and execution of the retail business. We use a quantitative data driven approach to the understanding, execution and performance assessment of this area. You will provide an expertise in analytics, modelling and coding to support the team and improve the profitability of the business.

Primary duties will include: 

• Improve production, scale and logic of client P&L attribution models
• Support and improve the client classification modelling to improve the profitability of the business
• Develop and maintain data pipelines for the client classification model and other datasets including trading cost analytics data
• Provide analytics and models that help us understand and improve the hedging performance and business profitability
• Provide analysis on client trading behaviour and trends
• Develop key metrics to understand business from trading and hedging perspective
• Communicate key analytics to senior leaders of the firm

To land this role you will need:

• Prior experience in financial or analytical setting
• Bachelors degree in a quantitative discipline (Physics, Computer Science etc)
• SQL Experience (understanding data structure, query optimization, use of stored procs/functions etc)
• Proficient with Python (pandas, numpy, etc)

• Strong analytical skillset, linked to a commercial understanding
• Knowledge of financial markets (futures, derivatives, options etc)
• Experience communicating data analytics to audiences of different technical levels

What makes you stand out:  

• Demonstrated passion for quantitative finance and/or trading
• Demonstrated passion for coding and/or machine learning
• Relevant work or independent project experience

Education / Certification Requirements: 

• Minimum of a Bachelors degree in a quantitative discipline (Physics, Computer Science etc)

Working environment:

• Hybrid – (4 days a week in office)