Data Analyst, Risk Data Strategy
Skills Preferred
Job Description
This role is a mix blend of Risk Data Analytics and Data Preparation for Risk Dashboard (Python Jupyter Notebook, SQL and Tableau). It involves the design, development and maintenance of the Risk Data Store and Risk Report Dashboard. Functions include both new development and BAU support for legacy data products. Responsibilities include accurate and thorough documentation of risk data.
Responsibilities
Liaise with Risk Framework Owners and Reporting team in defining data solutions. Work closely with Technology Developers from the CIO team to implement strategic data solutions. Python, SQL programming and debugging to support data solution development. Presto SQL view development to support data delivery and data visualization. Data programming using Jupyter Notebook, Excel Power Query and Tableau dashboards development. Data mapping and reference data identification, analysis and management. Data investigations and reconciliation to support reporting needs and legacy BAU activities. Solution documentation, Data dictionary preparation and assistance in Data Quality Management.
Job Requirements
Our Ideal Candidate: Graduate / Post-graduate in Statistics, Finance, Computer Science, Commerce or a similar Quantitative discipline. Good Stakeholder management by establishing good working relationships with people at all levels and working well in a team environment. Able to work under time pressure and adapt to changing requirements to produce prompt, reliable information for management for decision-making purposes. Prior experience in Python Jupyter Notebook and SQL Programming. Experience in Risk Reporting and Dashboard development. Can communicate effectively. Role-Specific Technical Competencies: Knowledge of Data Profiling and analysis techniques. Adequate knowledge of Python and SQL Programming. Adequate Knowledge of Data ETL Process and Data Quality Checks. Knowledge of automation techniques
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