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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.
Job Responsibility:
Work with colleagues in Risk Management to understand the drivers of losses and the business context to improve the design of the analytics
Develop stress loss models for operational risk models, including regulatory capital models and CCAR models
Leverage knowledge of risk assessment, risk monitoring and risk models and techniques to develop, test, document, and enhance portfolio models, visualization and diagnostic tools for testing model robustness, stability and performance
Research and analyze financial loss data, and issue special reports identifying risk drivers, estimating financial risk and measuring model risk
Develop and maintain clear documentation for methodologies and applications, including project plans, model descriptions, mathematical derivations, data analysis, process and quality controls
Support the implementation of analytical tools by reporting functions, and the migration of models to the production environment
Facilitate cross-functional dialogue with business and clients to improve risk reporting and internal and external regulatory compliance
Actively participate in the analysis and interpretation of results, incorporating feedback as appropriate into models and metrics
Provide timely and accurate response to business, management and regulators
Participate in discussions with model validation, internal and external audits and regulatory reviews
Requirements:
Degree in a Quantitative discipline such as Statistics, Economics, Math, or other Sciences and Engineering required (PhD preferred)
1 - 3+ years prior Financial Services and or Risk Management experience required
preferably within Operational Risk
Programming skills are required
Matlab, SAS, and R are helpful but prior experience isn’t essential
Extensive experience with statistical analysis, modelling techniques and numerical implementations
An interest and ability to learn the business, regulatory and risk management context
Experience in developing and maintaining clear documentation for models, model validation, project plans and processes
Excellent written and verbal communication skills and the ability to discuss technical issues with clients, peers, auditors, regulators and senior management
What we offer:
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
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