Data Scientist
📍
New York, United States
đź§Ş
Mid-level
Job Reference #
- to implement a fully automated machine-based data control workflow within Finance
- be responsible for monitoring the automatic discovered data issues
- be able to analyze unsupervised data patterns and exceptions
- partner with SMEs to investigate data issues with proposed remediation
- leveraging data outputs to challenge and influence effectiveness of upstream controls to further strengthen the front to back control environment
- be a valued partner across Finance stakeholders and Data Management Office
- collaborate and coordinate with other parts of Group Finance, Operations, and Risk Control to resolve issues and drive control initiatives
- provide training across Finance to enhance knowledge in AI technology
- drive and steer innovation project
- degree in Finance, Data Science, Computer Science, or quantitative field.
- 5+ years’ experience in financial service industry
- good knowledge of Data Analytics, Financial markets and products
- ability to analyze large datasets
- an analytical mind and inclination for problem-solving
- understanding of agile delivery model
- self-starter, ability to work in a fast -paced environment and deliver solid action-oriented results under tight deadline.
- strong verbal and written communication skills and strong interpersonal skills with the ability to articulate assumptions, method, and results to peer and management.
- track record of success in delivering high quality performance in a dynamic workplace
- UBS-ALPFA