Model Validation 2nd LOD Lead Analyst

Citibank, N.A. seeks a Model Validation 2nd LOD Lead Analyst for its Tampa, Florida location.

Duties:
Validate credit risk models using statistical and mathematical tools and economic and finance theories.  Test model assumptions and assess model performance. Assess adequacy and relevancy related to modeling data. Design and execute quantitative and statistical testing on model framework and performance. Perform data analysis and quantitative/statistical tests using statistical tools, perform large-scale analysis with programming languages including Python, Linux, SQL.

Manage model risk across the model life cycle including ongoing performance evaluations, annual model reviews, and monitoring and governance plans. Oversee the portfolios. Manage stakeholder interaction with model developers and business owners during the model life cycle. Provide effective challenge to model assumptions, mathematical formulation, model performances, and implementation. Assess and quantify risk associated with the model due to model limitations, and inform stakeholders of the risk profile and advise on development of compensating controls.

Review and challenge overlays and model change proposals, assess the risk control actions associated with model limitations, business initiatives, operation plans, and regulatory feedback when necessary. Conducts analysis and create technical documentation reports for validation purposes sufficient to meet regulatory guidelines and exceed industry standards. Comply with regulatory examinations, including CCAR and DFA Stress testing exercises by the FRB and OCC.

Present model validation findings to senior management and supervisory authorities. Document model validation outcomes and findings. Communicate results to diverse audiences. Represent the bank in interactions with regulatory agencies, as required. Contribute to strategic, cross-functional initiatives within the model risk organization.  Identifies modeling opportunities that yield measurable business results. Engages key stakeholders early and often and actively looks for opportunities to improve collaboration in achieving common goals.

Develop and validate models applied in climate risk area. Perform and assess model sensitivity to the macroeconomic and climate risk drivers. Evaluate the impacts to banks reserves and planning from the climate risks of physical and transitional shocks. Evaluate and assess data relevance and methodology soundness of the climate risk models, and assess its compliance with regulatory requirements of different climate exercises, mandated by various local regulatory agencies, such as HKMA (Hong Kong), OSFI (Canada), MAS (Singapore), and OJK (Indonesia).

Assist preparing the packages to fulfil regulatory climate exercise examination. Provide guidance and instructions to junior validations for policies and procedures. Lead projects when necessary, and ensure accuracy of validations performed by validators. Perform supervisory and peer reviews. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols.

Requirements:
Requires a Master's degree, or foreign equivalent, in Mathematics, Statistics, Engineering (any), or related field and 3 years of experience as a Model/Analysis/Validation Officer, Model/Analysis/Validation Senior Analyst, Research Assistant, or related position involving the credit risk model development, testing, and validation in a global financial services institution.  Alternatively, employer will accept a Bachelor's degree in the listed fields and 5 years of progressively responsible, post baccalaureate experience in the listed positions.

Full span of experience must include:
Data Analysis, identifying inconsistencies in data, and defining business issues;
Assessment of model development process including data processing, conceptual soundness, and mathematical formulation;
Statistical tests of model framework, assumptions, and performance;
Financial Risk management;
Economic research into macro-economic risk drivers, evaluation of model performance in various macro-economic…