Inactive
E

Ernst & Young

Global professional services: audit, tax, consulting

Professional in Quantitative Credit Risk Management

Quantitative RiskPosted on Oct 16
Full-timeAthens, GreeceNo salary listedHybrid

About the Job

Requirements

  • Strong analytical, problem-solving, and critical-thinking skills.
  • Willingness to learn and continuously expand technical and business skills.
  • Ability to understand, produce, and communicate complex or technical ideas to a non-technical audience.
  • Strong communication, presentation, and writing skills in English and Greek.
  • Excellent interpersonal skills and ability to work effectively within a team.
  • Solid project management skills.
  • Team management skills.
  • Willingness and ability to travel and work abroad for international projects.
  • A Bachelor’s and a Master’s degree in Mathematics, Statistics, Engineering, Operations Research, Econometrics, Data Science, Economics, Finance, Risk Management, or another related field with a strong quantitative focus.
  • Professional experience focused on one or more areas: quantitative techniques and analytics in credit risk; credit-risk model development, validation, and implementation; data management, mining, cleansing, and visualization applied to credit-risk data; programming and quantitative-analysis packages such as Python, R, SAS, or SPSS, and/or data-management tools such as SQL; or knowledge of risk-related regulation and requirements.

Responsibilities

  • Participate in challenging projects for international banking groups and financial institutions in Greece.
  • Apply knowledge to solve problems and derive well-substantiated business insights.
  • Take responsibility and build valued relationships with external clients and internal colleagues.

Desired Qualifications

  • A Ph.D. will be considered an asset.
  • Additional languages.
  • Experience in data analysis, data quality, data automation, and data management, including familiarity with Big Data technologies.
  • Understanding of advanced statistical, artificial intelligence, and machine-learning techniques for classification, clustering, and forecasting, with hands-on experience using programming languages such as Python.
  • Experience working with cloud technologies such as Microsoft Azure and Databricks.
  • Experience designing and implementing credit-risk-model frameworks, including model lifecycle management, development, validation, and deployment.
  • Understanding of the credit lifecycle and credit processes, including origination, approval, monitoring, workout, and collections.
  • Knowledge of climate and other environmental, social, and governance risks and their incorporation into credit decisioning and stress testing.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs