Job Description

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 organisations 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 realise their ambitions.


We are currently seeking an experienced professional to join our team in the role of

Senior Analyst - Decision Science

Principal responsibilities

Undertake model validation and testing 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 to ensure appropriate resolution of identified issues. Communicate technical model related information and results to Model Owners and Model Users through the course of a validation. Contribute to management, regulatory, and external confidence in all models used across the group. Deliver, high quality, timely validation reports that add value to the business. Requirements
Experience on Retail Credit Risk model development/validation specifically comprising stress testing models (example: CCAR, PRA etc.) and reserving models such as CECL and IFRS9. Preferably familiar with different Retail PD/LGD/EAD model development methodology and its validation for different retail portfolios such as Credit Cards, Mortgage, PIL, etc. Strong statistical knowledge with hands on working experience in various modelling techniques such as linear regression, logistic regression, time series modelling, survival models etc. Sound understanding of different Retail portfolios such as Credit Cards, Mortgage, PIL, etc. Familiarity with OCC/FRB, EBA, ECB, UAE Guidelines and PRA regulations and knowledge of Risk models, performance metrics and risks and associated issues. Some knowledge of internal procedures and local regulations and those of other country regulators would be an advantage. Minimum 1-5 years of experience of model validation/development experience in Risk Management in Retail domain Experience with some statistical modelling software / programming language e.g. SAS, Python, R, Matlab, C++, VBA. Experience of developing and reviewing models throughout the customer lifecycle and conducting independent model reviews is beneficial. Good written and verbal communication skills. Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard. Master's or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. Support the management of model risk across a large complex banking group and manage model risk whilst significant transformational activity is being implemented, both regionally and globally.

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."


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