GSC: AVP/Lead AVP/Senior AVP, MRM - Wholesale FO job opportunity at HSBC.

Bachelor's (B.A.)

Poland

• 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 defence) 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. Deliver, high quality, timely validation reports that add value to the business. • 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 __ What you need to have to succeed in this role • 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. models used for pricing and measurement of profitability and return. • 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 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