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1. Education Background:
- Must have either a Bachelor’s, Master’s degree or PhD in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field.
- Minimum three (3) years’ experience as a data analyst or data scientist in the financial services industry preferred.
- Minimum three (3) years’ experience managing analytical teams preferred.
2. Experience:
- At least 3 years of experience in a data analytics or a data science department, preferably as a Manager of Analytics or working within a Risk function.
- Broad, deep, and successful experience bringing together diverse functions and building teams which include data analytics and data science personnel, guiding them through successful data analytics projects
3. Knowledge:
- Demonstrated leadership; proven track record of leading complex, multidisciplinary teams in new endeavors and delivering solutions.
- Business acumen and the ability to communicate to executives, business domain stakeholders and technical staff alike.
- Considerable experience in solving business problems with analytical solutions, preferably advanced analytical solutions.
- Proven data literacy — the ability to describe business use cases / outcomes, data sources and management concepts, and analytical approaches / options.
- Demonstrated influence, communication, presentation and facilitation skills.
- Experience with innovation and ideation methods, such as design thinking.
- Demonstrated ability to communicate across multiple levels of the organization and work with developing and diverse project teams.
- Proven leadership skills in managing and motivating both the core team and distributed resources, with a broad range of skill sets.
- Proven experience in conducting statistical analysis and analytical building models.
- Familiarity with advanced scripting languages such as R, SPSS or other analytic tools would be advantageous
- Experience in using query languages such as SQL, Hive, Pig would be advantageous
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase would be advantageous
- Experience building and deploying predictive models.
- Familiarity with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques and tools.
- Knowledge of problem analysis, structured analysis and design, and programming techniques.
4. Capability: (Based on the Competency Dictionary)
- General Abilities: promotes excellence, takes responsibility, creative, ethical, ubdestanding of regulation & compliance, logical thinking, strategic thinking, innovative
- Leadership Abilities: promotes teamwork, adapts well to change, good communication skills, team player, mentoring, planning and organization
- Professional Abilities: Analytics, risk management, understanding of quantitative and qulaitative analytical techniques, self learner, problem identifcation and resolution.
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