Siya Consulting and Advisory Pvt Ltd

Basai Road, Gurgaon

Responsibilities: Develop and validate quantitative models for various risk management purposes, including credit risk, market risk, and operational risk. Collaborate with cross-functional teams to design and implement advanced statistical andmachine learning techniques to enhance risk assessment and decision-making processes. Conduct thorough analysis of large datasets to identify patterns, trends, and potential risks,and provide actionable insights to senior management. Stay abreast of industry best practices, regulatory guidelines, and market developmentsrelated to credit risk management, decision models, CCAR, IFRS9 and CECL, and incorporate findings into model development and validation processes. Work closely with client & stakeholders, including risk management, finance, and regulatory reporting teams, to address model-related issues and provide expert guidance on risk management strategies. Prepare comprehensive documentation, including model documentation, validation reports,and regulatory submissions, to ensure transparency and regulatory compliance.Qualifications: Master's or Ph.D. degree in quantitative finance, mathematics, statistics, computer science or a related field. Minimum of 1-2 years of experience in quantitative modeling and risk management withinthe financial services industry. Strong programming skills in languages such as Python, R, or MATLAB, with experience in data manipulation, statistical analysis, and machine learning techniques. Good knowledge of credit risk modeling methodologies, including probability of default (PD), loss given default (LGD), and exposure at default (EAD). Familiarity with CCAR stress testing, including scenario design, model development, anddocumentation. Familiarity with CECL/IFRS9 implementation and its impact on credit loss estimation andprovisioning.Certification such as FRM (Financial Risk Manager) or CFA (Chartered Financial Analyst) is a plus