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The Model Risk & Validation 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. There are typically multiple people within the business that provide the same level of subject matter expertise.
Job Responsibility:
Develops, enhances, and validates the methods of measuring and analysing risk, for all risk types including market, credit and operational
May develop, validate and strategize uses of scoring models and scoring model related policies
Manages model risk across the model life cycle including model development, model validation, ongoing performance evaluation and annual model review
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 modelling 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
Requirements:
Proven track record of success operating as a Model Risk & Validation Officer
Practical experience using SAS, R or similar statistical coding software to build and test prediction models
Comfortable interfacing with business clients
Proficiency handling very large data sets
Proficient in Python programming and object-oriented programming concepts
Consistently demonstrates clear and concise written and verbal communication skills
Knowledge of Git or other code repositories
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
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
Master's degree with 5-10 years' experience or a PhD in a quantitative field
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)
Sports Card
Holidays Allowance
Sport and team recreation activities
Exclusive 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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