HSBC - Lead/Assistant Vice President - Decision Sciences - GRA WCR

Role Job Description:

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 drive changes as on when required.

You would need to:

- Interface with senior stakeholders across Wholesale Risk

- Multitask on simultaneous engagements on controls & governance activities for Wholesale Credit Risk

- Prior work experience in model development/monitoring, preferably in the area of IRB/regulatory capital modes

- Retail or Wholesale banking - SAS or Python

- 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.

Qualifications - External

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

- At least Master's degree in Mathematics, Statistics, Economics, Engineering, Computer Science, Management or other quantitative fields of study

- Proficiency in SAS / R, Python, JavaScript and MS Office tools like Excel & PowerPoint

- 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

- At least 5 years of work experience related to Credit Risk in Financial domain

- Past experience in Governance related activities is a plus

- Strong Business communication skills is a must. Ability to confidently interact with senior management and communicate and synthesize information in a simple form. Besides strong written and verbal communication skills the incumbent is also expected to have strong presentation skills

- PhD or Masters degree from reputed university in business management or other quantitative fields

- In-depth knowledge and understanding of financial-services/ banking-operations

- Strong project management skills.