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).
