Assistant Director, Wholesale Credit Risk Analytics

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HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of Assistant Director, Wholesale Credit Risk Analytics
In This Role, You Will
The role will be responsible for supporting Wholesale Credit Risk Analytics(WCRA) policy and governance unit in the following capacities:
Overall model and analytics governance for WCRA function across the Model Life Cycle (MLC) aligned to Model Risk management (MRM) controls framework and policy obligations
Independently manage and drive consistent controls activities, uplift and enhance processes as required, improve MI, data quality and operational efficiency while remaining audit/regulator ready
Drive disciplined issue management through to sustainable “Path to Green” closure. Undertake various BAU activities (including forums, packs, minutes, actions, escalations etc.) to ensure alignment with global model risk management standards
Understand the regulatory standards and principles (eg. SS1/23) and adhere to the same for Wholesale Credit Risk (WCR) models. Prepare and communicate progress reports, adapting content for different audiences and levels of seniority
Interface with senior stakeholders including WCRA leads, Regional counterparts, Project owners, Model Risk Management (MRM), Chief Control Office (CCO), Assurance, Audit, Data, Financial Engineering etc. to ensure compliance and effective governance
Work closely with senior onshore team members in executing specific tasks and projects
Multitask on simultaneous engagements on controls and governance activities for Wholesale Credit Risk
To Be Successful You Will
7+ years of relevant experience in banking, analytics, consultancy, advisory or governance & reporting functions
Understanding of regulatory implications and experience in risk analytics is preferable (credit risk, model risk, compliance risk, operational risk, assurance, audit etc.)
Advanced knowledge of reporting & BI Tools (SQL, Tableau, Power BI, Alteryx etc.). Advanced VBA, Microsoft Excel and Microsoft PowerPoint skills. Hands-on coding (preferably in Python) or automation experience with contribution in process improvement and tooling initiatives will be a plus
Experience in data analysis, data extraction/manipulation etc. Confident using AI tools.
Experience with governance procedures, documenting processes and reporting workflows
Excellent oral and written communication skills with ability to communicate effectively with both non-technical and technical personnel.
Master’s degree or higher in a field such as finance, economics, MBA etc. Open and flexible to work with colleagues in other areas/timezones where appropriate
Knowledge and understanding of wholesale portfolio risk drivers, their use and impact on capital requirements; knowledge of regulatory capital and its components.
Knowledge of Advanced Internal rating Based Models (AIRB)/IFRS9 PD, LGD or EAD credit model development would be a plus. Decent understanding and interpretation of regulatory rules. Strong coding skills in Python, R, SAS, Matlab, SQL etc. would be essential.
Certifications like FRM, CQF or SCR will be preferable.
You’ll achieve more at HSBC
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HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”
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Work arrangement
Hybrid