Data Scientist

Bond is looking for a Data Scientist to join our Data team. In this role, you will play a crucial role generating insightful reports, and supporting finance and operations teams with data-driven decision-making. You will be responsible for creating and managing data pipelines for settlement and reconciliation with our banks, performing analysis across all of the company's services, and undertaking various other data-related tasks to drive operational efficiency and optimize financial processes.

You will

• Design, develop, and maintain efficient ETL processes to extract, transform, and load financial data from multiple sources, ensuring accurate settlement and reconciliation with our partner banks.
• Generate meaningful and actionable reports by analyzing financial data and key performance indicators (KPIs), providing insights to stakeholders across the organization. Identify trends, anomalies, and opportunities for process improvement.
• Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations. Propose and implement innovative solutions and best practices.
• Collaborate with cross-functional teams, including finance, operations, and engineering, to understand their data needs, provide analytical support, and contribute to data-driven decision-making.

You have

• Bachelor's degree in Finance, Business Analytics, Statistics, Economics, or a related field. A master's degree is a plus.
• Proven work experience as a Data Analyst, Financial Analyst, or a similar role within the finance or operations domain.
• Strong knowledge of SQL for data extraction, manipulation, and analysis. Experience with ETL processes and tools is highly desirable.
• Advanced Excel skills, including pivot tables, formulas, and macros.
• Familiarity with statistical analysis, forecasting techniques, and data modeling.
• Excellent analytical and problem-solving abilities with a keen eye for detail.
• Strong communication skills, with the ability to present complex data insights in a clear and concise manner.
• Experience working with financial systems, banking processes, and reconciliations is a plus.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.