Senior Manager, Risk Analytics – Wholesale Credit Risk

Job Description

Senior Manager Risk Analytics | HSBC

The Tone:
This is a full-time role at HSBC, located in the UK. HSBC is one of the largest banking and financial services organizations in the world, with a network covering more than 50 countries and territories. The company aims to be where growth is, enabling businesses to thrive and economies to prosper. This role is crucial for developing and enhancing wholesale credit risk models, requiring expertise in highly technical areas like statistical analysis and data mining, along with a deep understanding of the credit business, particularly for low-default portfolios where data scarcity requires innovative solutions.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person, United Kingdom

• Mission: To lead the development, enhancement, and deployment of wholesale credit risk models for global Internal Rating Based (IRB) portfolios, proposing innovative solutions to overcome data limitations and strengthen risk insights.
• Tech Stack: Python

What You’ll Actually Do
• Model Development: Lead the development and regulatory review of wholesale credit risk models (PD, LGD, EAD) for global Internal Rating Based (IRB) portfolios.
• Model Enhancement: Drive the enhancement of existing credit risk models to improve their performance or their applicability to other risk measurement requirements.
• Model Deployment: Drive the deployment and maintenance of credit risk models on existing risk systems, liaising with Risk Systems and IT to support model deployment and productional Reference Data Set (RDS) creation.
• Regulatory Support: Support independent review and audit review processes, and actively participate in governance committees, technical panels, and working groups to meet regulatory requests.
• Data Innovation: Propose creative or unconventional solutions to overcome data limitations and strengthen risk insights, leading data improvement initiatives to support model development and participating in model usage forums.

The Must-Haves
• Background: Advanced experience in a quantitative field with a sound understanding of statistics and data analytics. Deep understanding of the credit business and wholesale credit products.
• Experience: Proven experience in developing credit risk models, with a focus on IRB models for the wholesale banking book, ideally including experience with financial institution portfolios (banks, insurances, funds, broker dealers/securities firms). Demonstrated ability to lead and successfully deliver projects within agreed timescales, in liaison with all relevant stakeholders.
• Skills: Strong coding skills (preferably Python), strong data management and system deployment skills, outstanding presentation skills with the ability to share complex information clearly, and an approachable, collaborative communication style for an international team.