Our Global Service Centres are an integralpart of Global Operations. Employees based there manage day-to-day customertransactions and processes for the global businesses.
This may includetransactions for our retail bank such as processing loans, credit cards,insurance and mortgage applications, opening new accounts, and managingcustomer enquiries through contact centres and digital platforms.
Employees in the Global Service Centresalso run and manage operations for commercial bank customers. This includesprocessing credit applications, facilitating payments and managing the importand export transactions that enable customers to protect and grow theirbusinesses through international trade.
Performwholesale credit risk model development including IFRS9 / CECL Probability ofDefault (PD), Loss Given Default (LGD) and Exposure at Default (EAD) Models.
Support UAT testing for the redevelopment of IFRS9 / CECL PD / LGD / EAD models.
Analyzestress test results and complete required templates and reporting.
Buildstress testing models for CCAR. Responsible for entire lifecycle of collectingdata, building and implementing models, and performance tracking.
Appropriatelycalibrate the GRA wholesale models to ensure that risk is more accuratelyquantified and allocated.
Partner with functional businessleaders in developing analytical models
Partner with IT / DataEngineering teams to create deployment road-map
Provide actionable solutions with clear articulation ofrecommendations for the business stakeholders across geographies
Independently manage delivery of model developmentprojects by working with business partners across regions / geographies
Actively contribute in innovative analytical solution forimproved business performance
Work with global / regional teamsacross business lines and countries
Support decisions with soundreasoning and rationale and data analysis
Keeping abreast of all regulatorydevelopments together with changes to Group Standards in order to ensureappropriateness of advice
Be able to learn new skills andbuild knowledge quickly
Translate complex ideas intoeasily understandable solutions and documentation
Work independently and withremote teams
Skills / Experience Required :
5+ years of experience of using statistical concepts and (or) machine learning models to solve complex business problems
At least Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study
Business problem solving skills is essential
Proven expertise in building statistical and (or) ML models for solving diverse business challenges and creating significant business value
Knowledge and exposure to cloud analytics platform such as GCP, AWS Redshift , Azure etc. would be a plus but not mandatory
Enthusiasm for proactively seeking, exploring and developing use cases for new data and / or tools / wider industry trends
Strong business acumen with out-of-the box thinking to drive improved business performance
Strong stakeholder management skills and seamless delivery of analytics initiatives across markets
Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas