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About Standard Chartered We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.
To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.
We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.
The Role Responsibilities
Develop, maintain, document and support the implementation of credit risk methodologies and PD models for Corporate and Specialized Lending portfolios, in compliance with internal standards and relevant regulations.
Develop, implement and maintain Probability of Default (PD) models and credit risk methodologies for Corporate and Specialized Lending portfolios, for both regulatory (ie. IRB and Stress Testing) and accounting (ie. IFRS9) purposes
Prepare and maintain clear and detailed documentation of model revisions and new model developments
Liaise with and support the technology team to implement models into various risk systems, providing model specifications and testing system functionality prior to deployment
Support the internal models' approval and governance processes, providing detailed explanations and justification of modeling decisions and assumptions and addressing potential issues, particularly along Group Model Validation's reviews and Group Internal Audit's reviews
Support the external models' approval and governance processes, providing necessary explanations, justifications and analyses, particularly along the relevant Supervisors' approval assessments and external Auditors reviews
Liaise with business and product management to provide risk analytics solutions for enhancing the credit risk-return tradeoff
Research, propose and develop enhancements of existing models, to improve accuracy, risk discrimination, forward-looking capability and responsiveness to economic environment, considering the evolution in the relevant regulatory environment, academia and industry
Our Ideal Candidate
Strong degree (preferably postgraduate) in an applied quantitative discipline (e.g. Economics, Statistics, Finance, Financial Engineering) with a clear ability for analysing data and developing statistical predictive models
Analytical and independent thinker with strong written and verbal communication skills
Expert knowledge of statistical/database software such as SAS, Excel VBA, MS Access etc.
Relevant experience in a related area (credit risk for financial institutions and sovereigns) a definite plus
Knowledge of risk-drivers for Corporate and Specialized Lending portfolios is a definite plus
Knowledge/experience in credit, marketing or risk functions an asset
Knowledge of the Bank's product/ business/ technology system
Regulatory Framework and Requirements: Awareness and thorough understanding of the regulatory framework in which the firm operates.
Apply now to join the Bank for those with big career ambitions.