Job summary.
Join our Risk team to manage and validate bank-wide risk models, ensuring compliance with Model Risk Management standards.
You will perform independent model validation, monitor model lifecycle, and provide insights to senior management.
Ideal for professionals with strong quantitative, risk modeling, and regulatory experience in banking.
Job Description:
- Ensure bank wide compliance with the Model Risk Management Policy and related Minimum Standard.
- Ensure model life cycles are followed by model owners, including periodic reviews and updates.
- Maintain central complete inventory of all models within the Bank, with a complete model documentation.
- Perform 2nd line validation activities on credit risk non-regulatory models and all other non-credit models.
- Conduct Model Risk Dashboard and escalate the potential issue properly to Management level and/or ROC quarterly.
- Define/ Review and propose Model Risk appetite.
- Make an annual consolidated model risk assessment and report to ROC.
- Ensure identification and proper classification of all models, challenge model owners bank wide
- Maintain communication with external validators when appropriate.
Qualifications:
- Bachelor's or master's Degree in a quantitative field such as Financial Engineering, Applied Finance/Statistics/ Mathematics, Economics, etc.
- Minimum 5 years of relevant consulting type of experience combining risk management and quantitative modelling in the financial services (preferably within the banking sector)
- Experience in development and/or implementation of risk models (vendor or in-house) for credit product such as Application model, Behaviour model or Collection model.
- Experience in development of Marketing models, Market risk models or any financial models such as Propensity model, Fund transfer pricing model or Prepayment model will be given special consideration.
- An experience in the field of IFRS9 models and of prudential regulations is an important asset.
- Fluency with software packages and demonstrated understanding of financial mathematical techniques, risk measures, statistics, applied mathematics, and/or finance with practical experience in using SAS, Python or R etc.
- Good general awareness of the full range of risks in financial services (both financial and nonfinancial) that make capable of understanding and analysing their combined impact on an entire organization.
- Excellent analytical and synthesis sense and autonomous way of working
- Flexibility: multitasking, adapting to rapidly changing contexts and managing time appropriately, being able of working under pressure with tight deadlines keeping discipline to deliver qualitative outputs
- Capacity of building strong relationships with colleagues, bringing a positive and constructive mind and team spirit.
- Proven track record of working in quantitative teams, with a high degree of independence and responsibility, in one of the following fields: credit risk, stress test and financial planning, corporate stress test, advanced analytics in nonfinancial risk.
- Ability to communicate complex ideas effectively – both verbally and in writing – in English.
