
Professional in Quantitative Credit Risk Management
- Θεσσαλονίκη
- Μόνιμη
- Πλήρης Απασχόληση
- 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/technical ideas to a non-technical audience
- Strong communication, presentation and writing skills in English and Greek. Knowledge of additional languages will be considered an asset
- 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
- Excellent academic background, including a Bachelor and a Master's in Mathematics, Statistics, Engineering, Operational Research, Econometrics, Data Science, Economics, Finance, Risk Management or other related field with strong quantitative focus. Ph.D. will be considered an asset
- Professional experience with focus on one or more of the following:
- Quantitative techniques and analytics in various areas within credit risk
- Model development, validation and implementation for credit risk quantification (e.g. PD / LGD / CCF estimation, IFRS9, IRB, Credit Approval, Stress Testing, Early Warning, Climate and ESG risks incorporation in Credit Risk)
- Data management, mining, cleansing and visualization with application on credit risk data
- Strong skills in programming and quantitative analysis packages (e.g., Python, R, SAS, SPSS) or/and data management (e.g., SQL)
- Knowledge of risk-related regulatory landscape and requirements
- Experience in data analysis, data quality, data automation and data management including familiarity with Big Data technologies
- Solid understanding of advanced statistical, Artificial Intelligence and Machine Learning techniques for classification, clustering and forecasting and hands-on experience using programming languages such as Python
- Experience in working on cloud technologies (e.g., MS Azure, Databricks)
- Experience in the design and implementation of credit risk model related frameworks (model lifecycle management, development, validation, deployment)
- Understanding of the credit lifecycle and credit processes (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
- You'll have unlimited access to educational platforms, EY Badges and EY Degrees, alongside support for certifications. You will experience personalized coaching and feedback, and gain exposure to international projects, through our expansive global network, empowering you to define and achieve your own success.
- Dive into our innovative GenAI ecosystem, designed to enhance your EY journey and support your career growth. These advanced AI tools will empower you to focus on higher-value work and meaningful interactions, enriching your professional experience like never before.
- Our competitive rewards package, depending on your experience, includes cutting-edge technological equipment, ticket restaurant vouchers, a private health and life insurance scheme, income protection and an exclusive EY benefits club card that provides a wide range of discounts, offers and promotions.
- Our flexible working arrangement (hybrid model) is defined based on your own preferences and team's needs, and we enjoy other initiatives such as summer short Fridays and an EY Day Off.
- Our commitment to a sustainable way of operating, encourages volunteerism, promotes sustainable practices and offers opportunities for you to create a positive societal impact.
- Our pride lies in working at EY as one of the most recognized employers in Greece through our multiple awards received over the last 3 years (Top Employer, Great Place to Work and Best Workplace in Professional Services & Consulting).
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