This role will be responsible for supporting GRA Wholesale Model Monitoring unit in the following capacities:
Perform Model monitoring activities related to IRB, IFRS9, ECL or ST models for all Wholesale portfolios across the Globe.
Support regulatory and audit submissions as on when required.
The individual is also required to work on key projects within Model Monitoring function and support changes as on when required
Interface with senior stakeholders across Wholesale Risk
Multitask on simultaneous engagements on controls & governance activities for Wholesale Credit Risk
Work closely with senior onshore team members in executing specific tasks and projects.
Provide leadership support in various activities with WCR Model Monitoring team.
Management of Risk/Internal Controls/Compliance:
The jobholder will continually reassess the operational risks associated with the role and inherent in the business, taking account of changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, management restructurings, and the impact of new technology.
The jobholder will also adhere to and be able to demonstrate adherence to internal controls. This will be achieved by adherence to all relevant procedures, keeping appropriate records
and, where appropriate, by the timely implementation of internal and external audit points, including issues raised by external regulators.
The jobholder will implement the Group compliance policy by containing compliance risk in liaison with Global Head of Compliance, Global Compliance Officer, Area Compliance Officer or Local Compliance Officer. The term compliance embraces all relevant financial services laws, rules and codes with which the business has to comply.
This will be achieved by adhering to all relevant processes/procedures and by liaising with Compliance department about new business initiatives at the earliest opportunity. Also and when applicable, by ensuring adequate resources are in place and training is provided, fostering a compliance culture and optimising relations with regulators.
What you will need to succeed in the role:
At least 6 years of experience of using statistical concepts and (or) machine learning models to solve complex business problems. Preferably, at least 5 years of work experience related to Credit Risk in Financial domain
At least Master’s degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study
Proficiency in SAS / R / Python and MS Office tools like Excel & PowerPoint
Business problem solving skills is essential
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
Strong knowledge and understanding of financial-services/ banking-operations