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Evalueserve S.A.:

Model Implementation, Production and Monitoring

Publicado el 22/01/2019

Position at a glance:
This position is within the existing Customer Insights & Data Analytics team in Evalueserve, Chile, supporting a leading US financial services firm.
Responsibilities may include:
• Supporting complex model implementation environments working with large data sets, advanced statistical models, and SAS/other coding to effectively and efficiently execute models for different purposes, including annual stress tests/CCAR, allowance/CECL/IFRS9, and Basel
• Implementation of statistical models with complex logic in SAS or Python production environment
• Monitoring statistical models, including stress testing, allowance, and Basel models, for various asset types, as well as tracking activity and preparing various reports for review and approval from internal stakeholders
• Establishing strong controls and creating consistent and robust execution processes across models
• Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls
• Extraction, manipulation, and analysis of large data sets from a variety of sources, ensuring quality and consistency
• Creating reports and ad hoc analysis, interpreting and presenting results effectively
• Generating results through automated processes for internal and regulatory exercises
• Pursuing process automation and contributing to the continuous improvement of the programming environment
• Interacting regularly with stakeholders from different teams, such as the modeling, monitoring, governance, and data management teams

Número de vacantes 4
Tipo de cargo Analista
Área Finanzas
Actividad Empresa Servicios Financieros Varios
Región Empresa Valparaíso
Ciudad Empresa Valparaíso
Lugar de Trabajo Viña del Mar


Estudios mínimos Universitaria
Situación de Estudios Graduado
Carrera : 1. Computación e Informática
: 2. Ingeniería Civil
: 3. Matemática
: 4. Ingeniería
: 5. Estadísticas
: 6. Ingeniería Civil en Informática / Computación
: 7. Ingeniería en Estadística
Experiencia mínima Al menos 2 años
Conocimientos en computación Nivel Profesional
Requisitos mínimos Required Qualifications:

• Bachelor’s/Master’s degree in programs such as mathematics, statistics, engineering, economics or computer sciences
• Excellent verbal and written English communication skills
• 2+ years of hands on experience in SAS programming
• Experience in data cleansing, summarization, and insight generation
• Proficiency in model implementation, execution, monitoring, and/or development of large and complex predictive models for forecasting credit or PPNR losses
• Understanding of predictive modeling techniques and a strong understanding of the statistical testing necessary to assess model performance
• Highly collaborative, flexible, and available during office hours. Willing to take on ownership when asked to work on projects/tasks
• Strong conceptual and quantitative problem-solving skills and ability to think in a structured manner
• Dedicated, enthusiastic, self-driven, and performance-oriented; possessing a strong work ethic
• Reporting and analytical skills, ability to interpret analytical data/results, summarize them, and provide recommendations based on analysis

Preferred Qualifications:

• Hands-on statistical modeling experience
• Experience with developing sound model execution, analytics, or reporting processes
• Experience working with credit risk models, such as stress testing, allowance, or Basel models
• Analytics and/or credit risk management experience in banking
• Experience with Python
• Experience creating code documentation used for auditing and/or the training of other programmers
Idiomas Inglés (Hablado:Alto, Escrito:Alto, Traducción:Alto)


Duración Indefinite
Jornada Jornada Completa

Preguntas de la Oferta de Empleo (debes responderlas para poder postular)

- What is your level of English (1-basic, 10-native)?
- What is your experience with SAS? Please elaborate on any professional/academic experience using this tool (number of years, type of work).
- What’s your experience with Python? Please elaborate on any professional/academic experience using this tool (number of years, type of work).
- What is your availability/notice period? Are you willing to move to Viña del Mar?
- What is your current salary and what are your salary expectations?

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