Job
Description
S ome 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 Manager - Decision Sciences 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(Lone of defense) 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 Candidate should have worked on either development or validation of econometric forecasting PPNR models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income ( NII ), Non Interest Revenue ( Non-NIR ), Interest Rate Exposure ( IRE ), Economic Value Sensitivity ( EVS ), and other associated PPNR/Interest rate risk metrics. Candidate should have understanding of statistical techniques such as Time Series Analysis, Panel Regression, Error Correction Models, Seemingly Unrelated regression, Co-integration, and Linear/Logistic Regression. Candidate should have good understanding of various other mandatory regulatory expectations such as FRB/OCC/PRA guidelines and SR 11-7. Person should be familiar with concepts of time series modelling and its use in different stress testing exercises. Minimum 3-5 years of experience of financial model validation/development experience in Risk Management in Wholesale/Retail domain or related areas Proficiency in SAS / R, Python MS Office tools like Excel PowerPoint. Experience of developing and reviewing models throughout the customer lifecycle. Experience of conducting independent model reviews is beneficial. Candidate should be able to go through vast range of documentation and come up with concise set of questions highlighting model risk in the model. Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas. Candidate should be able to independently write high quality Model Validation reports highlighting model risks for senior management. Master s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative, Finance, Economics, Engineering or any other quantitative field of study (STEM). 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.
