Job description
Some careers have more impact than others.
If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be.
HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 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 realize their ambitions.
We are currently seeking an experienced professional to join our team in the role of Assistant Vice President - Decision Sciences.
Principal responsibilities
- Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model.
- Provide written reports detailing the results of validations highlighting issues identified during the validation.
- Validate remediation activities completed by the ILOD (Line of Defense) to ensure appropriate resolution of identified issues.
- Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures.
- Provide coaching and guidance to new starters and junior colleagues.
- Liaise with 1LOD and other model stakeholders as appropriate to ensure issues have been adequately resolved.
- Communicate across technical quantitative, business and strategic levels to ensure that stakeholders understand the implications of model risks and limitations.
Requirements
- Candidate should have worked on Wholesale Credit models and have good understanding of Wholesale Credit Model Development/Validation.
- Candidate should have good understanding of wholesale credit analytics models used for the following areas:
- Model used for customer selection such as propensity recommendation, customer value, engagement, and experience.
- Wholesale Fraud Analytics model used for fraud detection and reporting using analytics.
- Wholesale Credit Decisioning models such as acquisition and behavioural scoring models.
- He/she should be able to validate models used for different regulatory perspective such as OCC/FRB, EBA Guidelines and PRA regulations.
- Candidate should have strong knowledge on Linear/Logistic modelling techniques. Machine learning techniques good to have.
- Minimum 5-10 years of experience of financial model validation/development experience in Risk Management in Wholesale domain
- Wholesale Fraud Analytics model used for fraud detection and reporting using analytics.
- Proficiency in SAS / R, Python MS Office tools like Excel & PowerPoint. Experience of conducting independent model reviews.
- Master's / bachelor’s degree in /Statistics/Economic/Mathematics/Engineering/Computer Science/Management or any other quantitative fields of study.
You’ll achieve more at HSBC
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.”
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
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