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Ernst & Young

Global professional services: consulting, assurance, tax

Senior and Manager Quantitative Credit Expert

Quantitative RiskUpdated on Nov 14
Full-timeParis, FranceIn-person

About the Job

Requirements

  • At least 3 years of professional experience in a financial environment such as banking, insurance, or asset management, or in consulting.
  • A degree from an engineering school and/or university education, specializing in stochastic calculus, statistics, and/or data science.
  • Ability to combine analytical and synthesis skills with rigor and method.
  • Curiosity, dynamism, responsibility, and autonomy, and the ability to work as part of a team.

Responsibilities

  • Work on projects involving financial instruments and market, counterparty, or credit risk modeling, transformation, and interaction with quantitative teams at banks, asset managers, and insurers, EY's other practices, and an international network.
  • Deliver transformation projects related to regulatory changes such as FRTB, SA-CCR, IBOR transition, and IRB Repair, or process optimization.
  • Provide expertise to risk, finance, and business departments of leading financial institutions.
  • Assist with the development and validation of derivative pricing, xVA, market-risk, credit-risk, and counterparty-risk models.
  • Integrate innovative techniques such as machine learning into traditional models.
  • Implement model-risk management and approaches to new risks such as climate risk.
  • Provide quantitative expertise to other EY practices, including audit, transactions, and compliance.
  • Model credit risk for post-TRIM remediation, new regulatory requirements such as IRB Repair and Basel 4, and accounting requirements such as IFRS 9.
  • Validate and audit credit-risk models.
  • Perform back-testing and stress-testing of internal models.
  • Critically review methodologies used for regulatory calculations such as PD, LGD, and CCF, economic capital, and accounting provisions, including forward-looking projection and lifetime PD methods.
  • Support the implementation of a coherent model architecture, model interactions, adaptation to new risks such as climate risk, and identification of improvement opportunities.
  • Develop statistical models to detect fraud and financial-crime events.
  • Support the implementation of alternative offerings such as automated data collection through open banking, the use of artificial intelligence in risk measurement, and integration of climate-change impacts into standard quantification.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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