Citi Group Model Validator Analyst- C14- HYBRID 

United States, Texas, Houston 

901612583

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.
• Develop models and oversee model development, validation, and deployment efforts.
• Advances Risk Management methodology and integrate models into business decisions and planning.
• Manage successful annual quantitative and qualitative assessments and submissions.
• Works with large datasets and complex algorithms to solve data science challenges.
• Leverages big data to develop innovative deployable solutions.
• Help introduce best-in-class, cutting edge Model techniques to drive profitability through innovation.
• Ensures timely model performance tracking, and assist in process automation to drastically improve process/operation efficiencies (where possible) that will enable the business to make rapid decisions against market condition changes
• Ensures the compliance of development and validation of models with respect to internal and external guidelines.
• Supports the development of training curriculum and standards
• Partners with Risk and Decision Management organizations to understand the source of new data and continue to improve the process of defining, extracting and utilizing the new data
• Interacts with senior levels of management to facilitate understanding of usage of risk models and inform critical decisions.
• Provide leadership and guidance for junior modelers.
• 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.

Qualifications:

• 10+ years experience
• Sound knowledge of statistical modeling concepts and industry best practices; experience with econometric and statistical modeling or application risk scoring.
• Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
• Experience with analytical or data manipulation tools (e.g. SAS, SQL, R, C Programming in UNIX) Proficient with MS Office suite.
• Ability to deliver compelling presentations and influence executive audiences.
• Excellent communicator; ability to engage and inspire team forward.
• Ability to drive innovation via thought leadership while maintaining end-to-end view.
• Effective cross-functional project, resource, and stakeholder management; effectively engage with internal audit and external regulators.
• Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances.

Education:

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

Develop capabilities for efficient data extraction from global data repositories and establish data analysis procedures (including alternate data sources, and protocols for entities with data transfer restrictions).

Assess, enhance and implement as needed BICR analytical tools such baseline portfolio ratings, wholesale statistical sampling methodologies, integrating KRIs in the decision-making process on an ongoing basis to ensure they meet regulatory requirements and stakeholders’ standards.

Develop & maintain a library of standard analytics / reports available to the reviewers for the continuous assessment of portfolio quality, and identification & evaluation of emerging credit risks.

Participate as required in the validation of corrective action plans (CAPs), including the development of ad hoc analysis to verify sustainable resolution of issues.

Qualifications:

Advanced Degree (Masters) in Statistics, Mathematics, Finance, Econometrics, Operations Research, or other quantitative disciplines

Bachelor of Science (BS) degree in a quantitative discipline with 10+ years strong relevant experience may be considered in lieu of master’s with 7+ year experience.

Knowledge/Experience:

7+ years of experience in financial services (wholesale/corporate and commercial credit, collateral risk, concentration risk, counterparty credit etc.) and related analytics experience preferably with exposure to different lending products and regions.

Recognized Subject Matter Expert in Corporate and Commercial Credit Portfolio Risk Analytics and Risk Management strategies & processes for one or more products and/or lending areas.

Experience with industry standard data visualization tools - Tableau, etc.

Extensive exposure to various data repository structures, data extraction methods and various analytical/statistical tools (SAS, SQL, Python, etc.) is desirable.

Experience with and previous exposure to internal or external control functions and regulators (incl. the US) is desirable.

Excellent quantitative and analytic skills; ability to derive patterns, trends, and insights, and perform risk/reward trade-off analysis.

Excellent written and verbal communication skills with the ability to communicate clearly and concisely to audiences of varying levels of seniority.

Strong interpersonal skills with the ability to build relationships and exert influence without direct authority.

Anticipated Posting Close Date:

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