PRIMARY OBJECTIVE
• To actively lead, participate and contribute in identification of business use-cases for innovative ideation, design, build, test, and execution for Group business units to uplift business revenue or in cost optimization efforts.
• To develop and deliver business use-cases for innovative ideation, design, build, test, and execution for Group Business Banking units to uplift business revenue.
• To influence business teams on the required data-driven solutions and the recommended approached.
KEY RESPONSIBILITIES
• To identify new opportunities for the Business Groups in relation to Risk versus Reward equations.
• To deliver on the agreed business revenue or cost value goal outcome.
• To conduct regular review sessions with respective business units to ensure alignment on data-solutions, deliverables and standards against business challenges.
• To work closely with business owners and Group Risk to address business problem using data analytics to provide insights for business decision making.
• To provide consolidated overview and revenue tracking for management reporting on analytics use case.
• To be embedded into business squad team in Agile methodology for better business knowledge improvement and provide value to business.
• To pilot risk test programs with business groups and Group Risk.
• To pilot advanced analytics methods, tools, and advanced analytical platforms.
• To Identify, design, develop & execute the required analytical algorithms, techniques, and statistical methods to address and then solve business problems through data solutions.
• To understand the methodologies related implications of advanced analytics solutions, and assist in defining the solutions to support any future business requirements.
• To ensure timely delivery of analysis and proactively manage delays/issues if any with timely escalations.
• To manage and ensure high quality and accuracy in deliverables.
• To present business opportunities, reviewed & expected results and recommendations to senior stakeholders.
REQUIREMENTS
• Bachelor degree or above in Economics, Finance, Math, Statistics or equivalent
• Experienced in Engaging Business teams on Business Values and good understanding of Core P & L impact Management.
• Minimum 6 years’ experience in analytical and statistical modelling related roles with at least 3-5 years Risk Analytics background (banking experience is a plus).
• Proficient in SAS Programming (minimum 5 years) and Proficient Python Programming Language.
• Ability to generate analytical insights to business problems.
• Present and communicate with Clarity the analytical solutions.
• Work in Agile Environment.
• Deep expertise in data mining, analytical techniques & solutions.
• Hands on experience in handling & managing large quantum of data via appropriate tools & techniques.
Excellent understanding of relevant Big Data tools like SAS, Tableau.
Data Modelling experience (e.g. demand forecasting, segmentation, propensity).

• SAS