Job Description

• To develop Advanced analytics solutions (Models) focusing mainly on development of Pricing and forecasting models for GRB and GBB on Credit Card, Loans, FDs

• To Deliver on the Agreed Business Revenue or Cost Value Goal Outcome

• To conduct regular review sessions with respective Retail stakeholders, SME and Commercial Banking to ensure alignment on data-solutions, deliverables and standards against Business Challenges.

• To Knowledge Transfer on Businesses’ P & L of Business Units and track performances of the project executions

• To Conceptualize and Develop Data Monetization Use cases

• To Engage Risk Management and Collaborate and joint-analytics on Risk versus Reward opportunities valuate including pricing decisions (leveraging data and prediction models)

• To Work closely with business owners to address business problem using advanced data analytics solutions to improve Portfolio Management

• To be embedded into business squad team in Agile methodology for better business knowledge improvement and provide value to business

• 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 algorithms/methodologies related implications of advanced analytics solutions, and assist in defining the solutions to support any future business requirements

Job Requirement

• Experienced lead in Engaging Business teams on Business Values and good understanding of Core P & L impact Management

• Min. 8 years’ experiences in analytical and statistical modelling related roles (banking & insurance experience is a plus)

• Min 4-6 years’ experiences in modelling techniques; developing and implementing models (Response, pricing or optimization models for Retail businesses)

• Core understanding of Risk Management criterions to enable Risk versus Reward analysis

• Proficient in SAS Programming (minimum 6 years) and Proficient Python Programming Language

• Ability to generate analytical insights to business problems

• Project Management

• 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