Senior Consultant - Quantitative Risk Modelling
Grant Thornton (company site, opens in a new tab)3–7 yrsKolkataOn-siteDirect career pageEst. 10–25 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of quantitative risk model development, validation, and reviews for AML, transaction monitoring, and risk scoring frameworks.
- Design and implement data pipelines and analytical solutions using Python, SAS, and machine learning techniques to support model calibration, optimisation, and reporting.
- Manage client relationships and translate complex model insights into actionable recommendations for senior stakeholders while overseeing junior team members' work.
Minimum Requirements
- 3+ years of experience in financial institutions, regulatory bodies, or consulting firms focused on risk, compliance, and governance.
- Strong experience with regulatory compliance, GRC frameworks, and non-financial risk; knowledge of UAE regulatory frameworks mandatory.
- Proficiency in Python, SAS, scikit-learn, and statsmodels for data analysis and model development.
- Work Experience Required: 3+ years in relevant domains as specified in the JD.
Ideal Candidate Profile
- Experienced in managing quantitative risk modelling projects end-to-end, including technical and stakeholder engagement aspects.
- Comfortable operating in regulated financial services environments with strong understanding of compliance and governance frameworks, preferably with UAE regulatory experience.
- Able to bridge technical quantitative outputs and business strategy to communicate effectively with senior stakeholders and lead junior analysts.