Risk and Data Technology Business Manager

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