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186 HSBC Group Jobs
Assistant Vice President Decision Sciences
15-20 years
₹ 15.86 - 30.59L/yr (AmbitionBox estimate)
Bangalore / Bengaluru
1 vacancy
Assistant Vice President Decision Sciences
HSBC Group
posted 2hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- 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.
- Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures.
- Develop, manage, and update the Artificial Intelligence (AI) /Machine Learning (ML) playbook and test plans.
- Train and upskill model validation teams in Artificial Intelligence (AI) /Machine Learning (ML) models, providing peer review feedback as required.
- Provide coaching and guidance to new starters and junior colleagues.
- Act as a Subject Matter Expert (SME) for Artificial Intelligence (AI) /Machine Learning (ML) Model Validations.
- Communicate across technical quantitative, business, and strategic levels to ensure that stakeholders understand the implications of model risks and limitations.
- Contribute to management, regulatory, and external confidence in all models used across the group.
- Significant experience with statistical modelling software / programming language e.g. Statistical Analysis System (SAS) , Python, R, Matlab, C++, Visual Basic for Applications (VBA) is required.
- Proven experience as a Data Scientist or similar role, focused primarily in the Credit Risk segment of a bank/Non-Banking Financial Corporation (NBFC) or Fintech or any other Retail business.
- Experience of implementing multiple AI/ML projects end to end from conceptualization to implementation.
- Sound understanding and hands on experience of Large Language Models (LLM) such as Generative Artificial Intelligence (AI) and Predictive modelling (Linear Regression, Logistic Regression, Decision Tree, Random Forest, Gradient Boosted Machines (GBM), etc.) and statistical analysis (Variable Reduction, Feature engineering) with Supervised and Unsupervised machine learning algorithms.
- Experience of developing and reviewing models throughout the customer lifecycle.
- Experience of presenting recommendations to Senior Management.
- Experience of conducting independent model reviews.
Employment Type: Full Time, Permanent
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Anonymous · Non Voice
in Bengaluru/Bangalore
Great environment People centric organisation
The IJP process is flawed Conventional practices followed New people can feel a bit discriminated with a lot of tenured staff within the organisation
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