Credit Risk Analytics-Strategic Initiatives- Manager-C11

The Credit Portfolio Intermediate Analyst is an intermediate-level position responsible for developing Risk Segmentation, Underwriting, Line management, Account management, Cross functional analytics

Leverage credit risk data experience and business acumen to observe key trends, threats, inaccuracies and drivers of those observations.

Work closely with cross functional teams, including business stakeholders

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

Support Audit requirements from external/internal auditors & queries from Independent Risk

Train and mentor juniors in developing innovative models in compliance with policies and procedures

Implement initiatives to ensure consistency and compliance with global credit policies

Provide analyses and reporting of complex data trends to senior management and the business

Utilize UNIX and Statistical Analysis System (SAS) to perform risk, financial and data analyses including profiling, sampling, reconciliation, and hypothesis testing

Provide support for ongoing monthly and quarterly internal and regulatory report, as needed

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:

•    Advanced Degree in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
•    5+ years’ experience in performing quantitative analysis in consumer credit risk 
•           Hands on experience of Credit Risk strategy development and ability to manage own projects fairly independently
•    Data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, model estimation,PnL optimization, model documentation, and model production implementation
•    Ability to work effectively in cross functional teams, including country/region’s business stakeholders. Proven SAS/SQL programming, advanced spreadsheet and MS Office skills
Knowledge and experience of statistical procedures and financial analytic tools
Consistently learn and apply new skills quickly
Demonstrated organizational, analytical and problem-solving skills with ability to multitask

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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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