Citi Group Portfolio Risk Analytics Analyst II- C10 

Malaysia, Penang, George Town 

343781069

Responsibilities:

• Contribute to the development of new techniques and improvement of processes and workflows by applying in-depth disciplinary knowledge and integrating subject matter and industry expertise within Risk Management

• Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses including profiling, sampling, reconciliation, and quality testing.

• Research customer and/or management queries using risk systems and data and support ad-hoc risk policy analyses and projects as required.

• Participate in developing, testing, ensuring consistency and regulatory compliance, and assist in the implementation of those policies, processes and other related initiatives.

• Manage risk levels for the entire credit spectrum across multiple products and retail formats and prepare risk management presentations for senior management.

• Appropriately assess risk when business decisions are made, demonstrating 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:

• 3-5 years of relevant experience

• Knowledge of consumer/commercial cards risk analytics

• Ability to apply credit and risk principles toward business goals.

• Demonstrated ability to synthesize, prioritize and drive results with a sense of urgency.

• Proven ability to remain organized in a fast-paced environment, managing multiple projects.

• Proven interpersonal, organizational and analytic skills.

• Experience in using analytical packages like SAS, Essbase, MS Office (Excel, PowerPoint), Tableau

• Vision and ability to provide innovative solutions to core business practices.

• Ability to develop partnerships across multiple business and functional areas.

Education:

• Bachelor’s/University degree with specialization in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Engineering preferred.

Time Type:

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