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- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- Design and build technical processes to address business issues
- Design and deliver reports and insights that analyze business functions and key operations and performance metrics
- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company
- What you have
- The ideal candidate should have a strong background with statistical analytics techniques and programming skills, excellent communication skills and knowledge about financial institution. The ideal candidate will possess the following:
- Master degree in a quantitative field that require heavy uses of analytics, such as statistics, economics, finance, financial engineering, applied and computational mathematics, operation research, engineering, physics, or similar scientific fields.
- Minimum of 5 years of quantitative business analytics, with demonstrated ability to synthesize information from multiple sources and deliver strategy recommendation using predictive analytics
- Proficiency with Tableau and Microsoft office suite including using power point to tell visual stories translated from or with data.
- Proficiency with SQL, SAS, Python/R to perform effective querying involving multiple tables and subqueries is required. Experience with Alteryx and big data platform is a plus
- Experiences on natural language processing techniques is desirable
- Must be able to self-mange responsibilities and have excellent communication skills.
- Ability to manage multiple projects effectively and on-time along with prioritization of time-sensitive assignments.
- Strong problem solving, quantitative and analytical abilities.