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Responsibilities:
Research, develop, and maintain wholesale credit loss models used for regulatory stress testing and credit loss reserves, including CCAR/DFAST stress testing, CECL credit reserves, and internal stress testing
Implement models and model testing and monitoring software within the evolving and expanding Wholesale Forecast library Python codebase
Develop priorities for model development and related activities of the Team through engagement with partners in Risk and Product units
Enhance the application of analytics within the Risk organization particularly in portfolio stress testing for internal and regulatory purposes
Engage with Model Risk Management leadership to ensure that model development and documentation practices meet MRM guidelines
Support business, finance, risk managers, fundamental credit risk, internal audit, and banking supervisors for stress testing related discussions
Actively engage across teams within CORA developing all wholesale credit risk models, including PD/LGD/EAD models, credit risk rating models, and ICAAP and IFRS 9 models
Qualifications:
Master’s or Ph.D. degree in Economics, Finance, or another quantitative field (Mathematics, Physics, Computer Science, Econometrics, Statistics, etc.) is required.
5+ years of experience in quantitative financial modeling
Hands-on experience in the financial industry, with good track record of successfully mentoring talent and working with diverse stakeholders
Demonstrated knowledge of credit risk, credit products, and related regulatory rules. Experience in CCAR/EBA/ICAAP stress testing, PD/LGD/EAD modeling, or CECL/IFRS9 is preferred
Familiar with statistics packages and regression models
Strong programming skills in Python, R, C++ or other languages used for data analysis and quantitative modeling
Excellent communication skills, verbal as well as written. Fluency in speaking, reading, and writing English is required.
By joining Citi Solutions Center Poland, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed) and enjoy a whole host of additional benefits such as:
Private Medical Care Program
Life Insurance Program
Pension Plan contribution (PPE Program)
Employee Assistance Program
Paid Parental Leave Program (maternity and paternity leave)
Sport Card
Holidays Allowance
Sport and team recreation activities
Special offers and discounts for employees
Access to an array of learning and development resources
A discretional annual performance related bonus
A chance to make a difference with various affinity networks and charity initiatives
Time Type:
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