The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits
- Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
- Responsibilities: Recommended Qualifications: Education:
- 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.
- Conducts statistical analysis for risk related projects and data modeling/validation.
- Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
- Prepares statistical and non-statistical data exploration, validate data, identify data quality issues.
- Conducts data analysis, data mining, understand and create formal statistical documentation, reports and work with Technology to address issues.
- Analyzes and interprets data reports, make recommendations addressing business needs.
- Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; create formal documentation using statistical vocabulary.
- Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
- Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
- Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
- 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.
- 5-8 years experience
- Proficient in Microsoft Office with an emphasis on MS Excel
- 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
- Bachelor’s/University degree or equivalent experience
Alcance del Rol
- 50 % analytics estratégico / 50 % procesamiento de datos.
- 80 % técnico / 20 % administrativo.
- Sin equipo a cargo.
- Alta visibilidad y responsabilidad sobre decisiones relevantes de riesgo.
Perfil Requerido
Experiencia
- 5 a 8 años de experiencia en:
- Analytics avanzado.
- Riesgo de crédito.
- Modelos, estrategias o data science.
- Muy deseable experiencia previa en fraude o modelos de fraude.
Formación Académica
- Licenciatura en:
- Actuaría
- Matemáticas
- Finanzas
- Ingeniería
- Programación
- Carreras afines con sólida base cuantitativa
Conocimientos Técnicos
Indispensables:
- SAS (dominante / experto)
- SQL avanzado
- Python avanzado
- Manejo profundo de bases de datos.
- Estadística, probabilidad y análisis de riesgo.
Deseables:
- R
- Big Data / Data Science
- Modelamiento predictivo
- Metodologías Agile / Scrum
Idiomas
- Inglés intermedio – avanzado (deseable alto)
Competencias Clave
- Pensamiento analítico de alto nivel.
- Capacidad para traducir datos en acciones estratégicas.
- Comunicación clara con perfiles técnicos y de negocio.
- Gestión de múltiples proyectos en entornos de alta presión.
- Autonomía, criterio y enfoque en resultados.
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Job Family Group:
Risk Management
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Job Family:
Model Development and Analytics
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Time Type:
Full time
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Most Relevant Skills
Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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