Senior Data Scientist: Risk vs Rewards Specialist MYR

Net2Source Inc. is a Global Workforce Solutions Company, headquartered in New Brunswick, NJ with its local offices in Texas, California, Florida, Illinois, Colorado and Michigan and its global operations in Canada, UK, Europe, UAE, Malaysia, Australia, China, Singapore, and India. Net2Source offers a wide gamut of consulting solutions customized to specific client needs including but not limited to Application Development, Workforce Management and Project Consulting.Role: Senior Data Scientist: Risk vs Rewards Specialist - AnalyticsPrimary 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[1]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).