IN_ Senior Associate_Credit Risk Quant_Advisory Corporate_Advisory_Gurgaon

Price Waterhouse Cooper LLP

Gurugram District

Presencial

INR 1 200 000 - 2 200 000

Tempo integral

Há 7 dias
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Resumo da oferta

PwC India is seeking a Credit Risk Quantitative Analyst to join our Advisory practice in risk. The role focuses on developing and validating credit risk models under IFRS 9 and CECL, leveraging advanced quantitative methods to support governance and risk management.

The ideal candidate will contribute to model development, validation, and regulatory compliance, collaborating with data teams and stakeholders to drive sound credit risk decisions.

Qualificações

  • Master’s or Ph.D. in Quantitative Finance, Statistics, Mathematics, Economics or related field.
  • Proven experience in credit risk model development or validation, particularly under IFRS 9 and CECL frameworks.
  • Strong quantitative and analytical skills with a solid understanding of statistical and mathematical modeling.
  • Proficiency in programming languages such as Python, R, SAS, or MATLAB.
  • Familiarity with data management tools and techniques, including SQL and data visualization platforms.
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Strong attention to detail and the ability to manage multiple projects and deadlines.

Responsabilidades

  • Develop and/or validate credit risk models, including PD, LGD, and EAD models.
  • Ensure compliance with IFRS 9, CECL, and other regulatory requirements.
  • Conduct quantitative analysis and stress testing to assess model performance and risk exposure.
  • Collaborate with cross-functional teams to gather data, refine model assumptions, and improve model accuracy.
  • Document model development and validation processes, including methodologies, assumptions, and findings.
  • Provide insights and recommendations to improve credit risk management practices and strategies.
  • Stay updated on industry trends, regulatory changes, and advancements in quantitative modeling techniques.
  • Participate in internal and external audits, addressing findings related to credit risk models.

Conhecimentos

Quantitative analysis
Credit risk modeling
Communication skills

Formação académica

Master’s or Ph.D. in Quantitative Finance/Statistics/Mathematics/Economics
Chartered Accountant Diploma
MBA

Ferramentas

Python
R
SAS
SQL

Descrição da oferta de emprego

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.

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.

Responsibilities
  • Develop and/or validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models.
  • Ensure compliance with IFRS 9, CECL, and other relevant regulatory requirements.
  • Conduct quantitative analysis and stress testing to assess model performance and risk exposure.
  • Collaborate with cross-functional teams to gather data, refine model assumptions, and improve model accuracy.
  • Document model development and validation processes, including methodologies, assumptions, and findings.
  • Provide insights and recommendations to improve credit risk management practices and strategies.
  • Stay updated on industry trends, regulatory changes, and advancements in quantitative modeling techniques.
  • Participate in internal and external audits, addressing any findings related to credit risk models.
Qualifications
  • Master’s or Ph.D. degree in Quantitative Finance, Statistics, Mathematics, Economics, or a related field.
  • Proven experience in credit risk model development or validation, particularly under IFRS 9 and CECL frameworks.
  • Strong quantitative and analytical skills, with a solid understanding of statistical and mathematical modeling.
  • Proficiency in programming languages such as Python, R, SAS, or MATLAB.
  • Familiarity with data management tools and techniques, including SQL and data visualization platforms.
  • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Strong attention to detail and the ability to manage multiple projects and deadlines.
Mandatory skill sets

Credit Risk Model Development or Validation

Preferred skill sets

Proficiency in programming languages such as SQL

Years of experience required

5+ Years

Education qualification

Master’s or Ph.D. degree

Education

Degrees/Field of Study required: Chartered Accountant Diploma, MBA (Master of Business Administration)

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Financial Services Operations, Financial System Conversions

Optional Skills

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}

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

June 17, 2026

Requirements:

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