Location: Stamford, New YorkDepartment: TechnologyExperience Level: Experience ProfessionalsContact: Paul KrugJob ID: REQ8546ROLE 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
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