Position Summary
Create of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision making.
Job Responsibilities
- Plays a key role in leading innovation within the business and defines how the business creates additional value by utilizing its data assets and analytics.
- Identify and monitor key business risks and aware of the data needs of the business.
- Manage the junior data science teams and oversees all activities ensuring alignment with division and business-wide vision and strategies.
- Drive education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics.
- Manage the business’s external data and analytics partners and plays a leading role in the development and design of the division vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities.
- Improve the business’s data analysis model, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning in the division.
- Support the data warehouse in identifying and revising reporting requirements.
- Perform other tasks assigned by line manager.
Job Requirements
- Master’s degree or bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.\
- Minimum at least 5 years of working experience in a data science position
- Be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Perl, Java, VB, among others.
- Successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
- Understanding of Hadoop, Hive and/or MapReduce, Machine Learning, Conceptual modelling, Statistical analysis & Predictive modeling, Hypothesis testing
- Experience in working with large structured and unstructured data sets.
- Understanding and operating in an agile development environment while collaborating with key stakeholders from various departments of bank.
