Contribute to the development of new techniques, improvement of processes and work-flows by applying in-depth disciplinary knowledge and integrating subject matter and industry expertise
Develop recommendations to adjust credit policies by analyzing credit and financial performance and utilizing statistical scoring, segmentation, and regression and simulation techniques
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, and optimizing credit policies, 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 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:
5-8 years of relevant experience
Proven ability to apply credit and risk principles toward business goals
Demonstrated ability to synthesize, prioritize and drive results with urgency
Proven organizational, interpersonal and analytical skills
Comprehensive knowledge of SAS or SQL programming and MS Office software
Education:
Bachelor's degree/University degree or equivalent experience
Licenciatura en Actuaría, Matemáticas, Ingeniería o afines.
Conocimiento de lenguajes de programación como SQL o SAS.
Nivel medio - alto de inglés.
Experiencia previa en temas de implementación en sistemas de decisión.
Conocimientos comprobables del ciclo de crédito (preferentemente crédito de nómina).
Facilidad de trabajo con equipos interdisciplinarios.