Join our Deloitte Strategy, Risk & Transaction team in Noida as a Deputy Manager specializing in Credit Risk Quantification. This role is integral to mitigating risks and identifying value-creation opportunities across various financial domains.

You will be a key player in the Regulatory & Financial Risk group, contributing to end-to-end risk services. Our team excels in managing strategic risks, enhancing board oversight, and addressing complex financial and cyber threats.

Your primary focus will be the independent validation of advanced IRB and Foundation IRB models, including PD, LGD, EAD, and CCF methodologies. You'll assess rating system design, performance, RWA attribution, and capital impact.

You will evaluate model assumptions for diverse wholesale exposures like corporate and SME lending, project finance, financial institutions, and real estate. This includes assessing conceptual soundness, data representativeness, risk differentiation, and calibration.

Key responsibilities also involve reviewing model segmentation, downturn calibration, collateral treatment, and default definitions. Ensuring regulatory compliance with Basel III/IV and regional rules is paramount. You'll conduct model performance testing and prepare comprehensive validation documentation.

We seek professionals with experience in Corporate lending, project finance, commercial real estate, and private equity exposures. Familiarity with stress testing frameworks (CCAR/ICAAP) and IRB-to-IFRS 9 model linkages is essential.

Candidates should demonstrate the ability to articulate quantitative findings to non-technical senior stakeholders. A strong mindset for effective challenge, independent risk oversight, attention to detail, and documentation discipline are crucial.

Desired qualifications include experience in modelling or validating Wholesale IRB capital models, IFRS9, and Climate Risk Modelling. Proficiency in Python, R, SAS, and SQL, coupled with a deep understanding of IRB rating system architecture and Basel III/IV capital rules, is highly valued.

A Master’s degree or higher in a quantitative field, along with 4 to 6 years of relevant experience, is required.