Senior Quantitative Analytics Associate

2 days ago

Gandhinagar, India beBeeQuantitative Full time

Model Verification This role involves independent validation and review of the bank's various risk models. The associate will ensure that models are functioning as intended, comply with regulatory requirements, and accurately identify, measure, and report risks to senior management.The associate will perform in-depth validations and reviews of new and existing models used across the bank, including those for fraud risk, compliance risk (such as AML, OFAC), and other areas. They will test the model's conceptual soundness, data accuracy, methodology, and ongoing performance through techniques like backtesting, benchmarking, and stress testing.Additionally, the associate will provide an effective challenge throughout the model validation/review to ensure that models are robust, and all assumptions and limitations are justified. They will present findings, weaknesses, and observations identified from the validation/review to model developers/owners and provide them with executable finding remediations.Required qualifications include a Master's degree in a quantitative discipline and at least 3 years of relevant experience, or a Bachelor's degree and at least 5 years of relevant experience. The associate should have hands-on experience in statistical and AI/ML model development or validation, with a strong understanding of quantitative modeling methods. Proficiency in programming languages such as Python, R, SQL, or SAS is also required. Excellent written and verbal communication skills are necessary to clearly articulate complex technical findings to both technical and non-technical stakeholders.Risk Model Validation RequirementsMaster's degree in a quantitative disciplineAt least 3 years of relevant experienceHands-on experience in statistical and AI/ML model development or validationProficiency in programming languagesExcellent written and verbal communication skillsBenefitsThis role offers opportunities for professional growth and development in a challenging and dynamic environment. The associate will work closely with experienced professionals to develop their skills and knowledge, and will be exposed to a wide range of models and technologies.

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