Leadership Rotation Network Analyst

DRW•Chicago, IL

1d•Onsite

About The Position

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. Upon successful program completion, you will earn a post-LRN role on one of the participating middle/back-office teams with the aim of alignment between both your career aspirations and DRW’s business needs. This position is not a trading or quant role and does not involve trading strategy or investment decision-making. Instead, examples of how we empower our LRNers to make an impact include: 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

Requirements

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.
Foundational knowledge of SQL, Python, or similar data tools, with an ability and willingness to deepen these skills on the job
Work authorization in the United States without the need for sponsorship

Nice To Haves

An interest in the trading and technology industry, with a specific aspiration to build a career in the middle/back-office
A desire to live and work in Chicago, IL (this opportunity requires physical presence and is not offered remotely)
A solid understanding of financial securities and their markets
Prior internship experience in/exposure to middle or back-office roles and operations but no prior full-time work experience (LRN is a junior analyst leadership pipeline opportunity best suited for new grads joining the workforce for the first time)
Interest in automation, process improvement, and using technology to reduce manual effort and operational risk.

Responsibilities

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
Use AI-enabled tools to accelerate analysis, troubleshoot issues, draft queries or scripts, summarize information, and identify workflow improvements
Validate AI-generated outputs, protect confidential information, document assumptions, and escalate uncertainty
Investigate data discrepancies, reconcile information across systems, and communicate conclusions clearly