ROLE OVERVIEW
The Business Manager will be a key member in both the Risk and Data Technology Management teams. The role is highly collaborative and encompasses responsibilities from planning, execution governance, communications, financial and team management.
Responsibilities
• Team Management: Work closely with the Chief Data Officer and Head of Risk Technology to manage administrative tasks across the team, driving execution throughout the organization
• Execution governance: Drive team quarterly planning process and track execution progress, highlight risk in project delivery
• Financial management: Work closely with Tech COO functions to ensure we have financials to derive Tech budget/actual and drive program/investment decisions
• Communications: Manage Risk and Data Technology communications and employee engagement activities across Tech; Work closely with Tech COO to celebrate the success of the team
• Projects: Work closely with Chief Data Officer and Head of Risk Technology on ad-hoc projects such as location strategy and org design
Tactical / Hands-On Responsibilities:
• Coordinating across technology to manage projects timelines and updates.
• Able to multi-task and excel in a high-pressure, fast-paced trading environment
• Work well under minimal supervision to complete projects and tasks on time
• Able to think on your own to develop quick and sound solutions to complex problems
• Work closely with technology, product, and business partners (Managers and C-Level Suite)
Qualification & Requirements
• 5 or more years work experience in business management
• Experience with MS Office especially Excel and PowerPoint
• Experience with AI coding tools (example: Claude, Codex)
• Experience with project management tools include JIRA and Asana
• Experience with data and visualization tools (example: Power BI, Streamlit, Tableau)
• Strong verbal and written communication skills
• Works well with others across an array of different subject matters
• Knowledge of financial reporting, including headcount, infrastructure and project planning and forecast
• Strong data analytics skill – able to deep dive into large data set and produce insights