The Model/Anlys/Valid Sr Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning.Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.

Responsibilities:

• Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.

• 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.

• Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 13 years experience

• 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.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

• This Position is within Global Consumer Risk Management of Citi for CCAR/CECL model development for the Unsecured portfolios. (e.g., credit cards, installment loans, ready credit etc.)

The responsibility includes but not limited to the following activities:

• Obtain and conduct QA/QC on all data required for CCAR/CECL model development

• Develop segment and/or account level CCAR/CECL stress loss models

• Perform all required tests (e.g. sensitivity and back-testing)

• Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed

• Deliver comprehensive model documentation

• Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team

• Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built

• Lead, train and mentor junior modeler in developing innovative models in compliance with policies and procedures

• Create story boards, presentations and project plans for discussions with senior management

• Support the regulatory submissions for Citi on CCAR/CECL and work on adhoc requests from Business and Independent Risk

• Prepare responses/presentations to regulatory agencies on all CCAR models built

Qualifications:

• Advanced Degree (Masters required, PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline

• 9+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses

• At least 5 years’ experience in developing credit risk/marketing scorecard with at least 2 years’ experience in leading a risk model development

• Experience in managing mid to large sized teams and managing projects and stakeholders.

• Experience with dynamics of unsecured products a strong plus

• Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)

• Exposure to various stress loss modeling approaches at the segment or account level preferred

• Able to communicate technical information verbally and in writing to both technical and non-technical audiences

• Ability to manage work in cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team

• Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint

• Able to communicate technical information verbally and in writing to both technical and non-technical audiences

• Manage 5+ member team

Technical Skills:

• Strong technical skills in modeling procedures is required (regression, time series, decision tree, linear/nonlinear optimization etc.)

• Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint

• Basic programming skills in Python or R is required

• Strong communication skills to present technical information verbally and in writing to both technical and non-technical audiences is required.

• Ability to influence others in technical matters is required.

• On-the-job Python coding experience is preferred.

• Machine Learning knowledge is preferred

• Big Data concepts understanding is preferred

Job Family Group:

Risk Management

Job Family:

Risk Analytics, Modeling, and Validation

Time Type:

Full time

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