Risk Management Model/Analyst/Validator
hace 1 semana
About the Role
Citi is seeking a highly skilled Risk Management Model/Analyst/Validator to join our team. As a key member of our risk management function, you will be responsible for developing, enhancing, and validating risk models to ensure they meet regulatory guidelines and industry standards.
Key Responsibilities
- Develop and validate risk models to measure and analyze risk across various types, including market, credit, and operational risk.
- Manage model risk throughout the model life cycle, including validation, ongoing performance evaluation, and annual model reviews.
- Produce analytics and reporting to manage risk for Citi's operations.
- Translate business requests into programming and data criteria and conduct systems and operational research to model expected results.
- Assist in the development of analytic engines for business product lines.
- Communicate results to diverse audiences, including senior management and regulatory agencies.
- Conduct analysis and package it into detailed technical documentation reports for validation purposes.
- Participate in teams to solve business problems and identify modeling opportunities that yield measurable business results.
- Provide guidance to junior validators and manage stakeholder interaction with model developers and business owners.
- Represent the bank in interactions with regulatory agencies and present model validation findings to senior management and supervisory authorities.
- Assess and quantify model risk due to model limitations and inform stakeholders of their risk profile and development of compensating controls.
Requirements
- 6-10 years of experience in a quantitative role in risk management at a financial institution, with experience in either model development or validation.
- Proficient in Microsoft Office, with an emphasis on MS Excel.
- Consistently demonstrates clear and concise written and verbal communication skills.
- Self-motivated and detail-oriented, with project management and organizational skills to handle multiple projects at one time.
- Practical experience using SAS or similar statistical coding software to build and test prediction models.
- Good knowledge and understanding of various model development and validation testing techniques covering risk models.
Education
- Bachelor's/University degree or equivalent experience, potentially Master's degree.
- English advanced.
- Knowledge in AML.
- Experience in data analysis and reports.
- Experience in project and strategy planning.
- Softwares: SAS, SQL, R, and Python.
Job Family Group
- Risk Management.
Job Family
- Risk Analytics, Modeling, and Validation.
Time Type
- Full time.
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