UBS is looking to solve the problem of turning data into evidence to help clients make better investment decisions by creating insight-ready datasets.
Requirements
- Proficiency in Excel
- Good working knowledge of SQL and relational data structures or Python and Pandas is highly desirable
- Experience with visualization tools like Tableau or Power BI would be advantageous
- Experience in financial services and preferably in equity research is highly desirable
- Ability to work with big data
- Knowledge of data quality checks and assurance
- Experience with data engineering and delivery teams
Responsibilities
- Work closely with a global team of researchers, data engineers, and business analysts on building innovative data solutions
- Serve as a bridge between research analysts, business stakeholders, data engineers and delivery teams
- Participate in brainstorming meetings to design, execute, and deliver novel solutions that address investment debates
- Translate business requirements into project plans
- Design solutions, own specifications used for development and ensure sound execution
- Transform structured and unstructured big data into actionable insights
- Develop, maintain, and enhance high-quality data assets built from various sources
Other
- University degree, preferably in a data analysis related field e.g. statistics, economics, financial analysis or mathematics or similar
- Exceptional written and oral communication skills and experience in executive storytelling and visualization
- Excellent organizational, presentation and time management skills
- Ability to communicate with diverse audiences ranging from highly technical colleagues to senior stakeholders
- The ability to balance multiple projects and priorities
