Our formula for success is to hire exceptional people, encourage their ideas and reward their results.
As a participant in our yearlong middle and back-office rotation program, referred to internally as our Leadership Rotation Network (LRN), you’ll begin your journey with our immersive onboarding experience. This will reinforce your knowledge of market fundamentals, equipping you for the dynamic rotations that follow. Additionally, it offers an invaluable opportunity to build strong relationships with your fellow cohort members and integrate into the wider LRN community.
Following onboarding, you will rotate through up to three targeted middle and/or back-office teams such as Global Trading Operations, Treasury/Cash and Business Management.
What you'd do
- Apply your acquired knowledge and skills to deliver tangible value through rotations in various middle and back-office teams
- Analyze situations, develop solutions aligned with our strategic goals and respond constructively to feedback
- Develop a comprehensive understanding of the business and gain a “behind the scenes” look at how our support functions work together cohesively
- Effectively collaborate within diverse teams and build lasting relationships with cohort members and the LRN community
- Lead projects and participate in daily processes, gaining insight into each team’s scope and their collective role in supporting our trading business
- A Bachelor’s or Master’s degree in Business, Finance, Business Analytics, Economics, or a related field, with a graduation date between December 2026 and June 2027
- An insatiable desire to learn, a curious mindset, unwavering commitment to integrity, and proven ability to deliver both individually and as part of a team
- Excellent critical thinking and problem-solving abilities, effective collaboration and communication skills, a capacity for rapid learning and strong sense of urgency
- The ability to work independently while fostering strong working relationships across various business groups
- Strong Excel skills and comfort working with large, structured data sets.