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PwC India is seeking a Credit Risk Quantitative Analyst to join our Advisory team in Gurgaon. You will develop or validate credit risk models (PD, LGD, EAD) with a focus on IFRS 9 and CECL, contributing to regulatory compliance and risk management.
The ideal candidate holds a Master’s or PhD in a quantitative field, has 5+ years of experience, and is proficient in Python, R, SAS or MATLAB, with strong SQL and data visualization skills and excellent communication.
Job Description:
Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Risk
Management Level
Senior Associate
Job Description & Summary
At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.
Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth.
*WhyPWC
AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn more
about us
.
AtPwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary
PwC India is seeking an experienced Credit Risk Quantitative Analyst to join our team. The ideal candidate will have a strong background in model development or validation, with a focus on credit risk management. This role requires expertise in IFRS 9, CECL, and other key areas relevant to credit risk. The successful candidate will contribute to the development and validation of credit risk models, ensuring compliance with regulatory standards and best practices.
Credit Risk Model Development or Validation
Proficiency in programming languages such as SQL
5+ Years
Master’s or Ph.D. degree
(if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Chartered Accountant Diploma
Degrees/Field of Study preferred:
(if blank, certifications not specified)
Financial Services Operations, Financial System Conversions
Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Digital Tooling, Embracing Change, Emotional Regulation {+ 27 more}
(If blank, desired languages not specified)
Not Specified
No
No
June 17, 2026