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The Model/Anlys/Valid Officer is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness.
Key Responsibilities- Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational.
- Manages model risk across the model life-cycle including model validation, ongoing performance evaluation and annual model reviews.
- Produces analytics and reporting used to manage risk for Citi's operations.
- Translates operational requests from the business into programming and data criteria and conduct systems and operational research in order to model expected results.
- Assists in the development of analytic engines for business product lines.
- Communicates results to diverse audiences.
- Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards.
- Participates on teams to solve business problems.
- Identifies modeling opportunities that yield measurable business results.
- Provides guidance to junior validators as and when necessary.
- Manages stakeholder interaction with model developers and business owners during the model life-cycle.
- Represents the bank in interactions with regulatory agencies, as required.
- Presents model validation findings to senior management and supervisory authorities.
- Provides effective challenge to model assumptions, mathematical formulation, and implementation.
- Assesses and quantifies model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls.
- Contributes to strategic, cross-functional initiatives within the model risk organization.
- 6-10 years experience
- 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
- Demonstrated project management and organizational skills and capability to handle multiple projects at one time
- Practical experience using SAS or similar statistical coding software to build and test prediction models
- Comfortable interfacing with business clients
- Proficiency handling very large data sets
- Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation
- Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models
- Bachelor's/University degree or equivalent experience, potentially Masters degree
- English advanced
- Knowledge in AML
- Experience in data analysis and reports
- Experience in project and strategy planning
- Softwares: SAS, SQL, R and Python
