Position at a Glance
This position is for a new team within the existing Risk & Compliance Analytics practice at Evalueserve Chile supporting a leading US retail bank’s consumer lending segment risk and control oversight area, which is responsible for increasing and demonstrating the effectiveness of process controls within the line of business.
This position will lead the control analytics team and will report to the Risk & Compliance Group Manager and work closely with the leader of the analytics & monitoring team for the retail banking and consumer lending segments.
The control analytics team will support the buildout of a strong risk analytic foundation to identify and aggregate data across transactions, interactions, customers, team members, and products for the purposes of supervising and monitoring operational and conduct risk.
These capabilities will enable near real-time monitoring and surveillance and provide key metrics, analytics, and reporting to enhance accountability throughout the consumer lending operation structure.
Responsibilities may include :
Leading efforts to identify and implement a consistent data-driven process of surveillance and supervision of lending activities throughout the loan lifecycle, with a particular emphasis on conduct risk and operational risk
Collaborating with senior leaders and guiding analysts to develop robust and actionable metrics, alerts, and reporting to monitor control effectiveness.
Leveraging advanced data analytics and machine-learning techniques to identify risk patterns and trends and provide insights on the effectiveness of Self-
Assurance Activity oversight programs and processes
Leading teams in leveraging structured and unstructured data and Big Data analytic tools and platforms to provide insight into risk trends
Partnering closely with stakeholders across the bank to identify and optimize the ongoing risk reporting necessary to support first line accountability for control effectiveness and other key risk issues
Providing a framework and guiding the development of analytics and metrics to supplement First Line of Defense process supervision and oversight
Guiding efforts in collaboration with First Line and Independent Risk Management groups to research, identify, and implement workflow and real-time alerts capabilities
Leveraging data and analytics to inform and influence the line of business’s strategic planning team in long-term plan development around supervising front-line risk-taking groups
Partnering closely with other Control and Independent Risk Management teams to support Compliance Reviews and other activities, providing data analytics as required
Contributing to operational excellence by sharing knowledge and adhering to quality standards and best practices
Participating in Evalueserve initiatives related to Mind + Machine projects, innovation, training, and development
Estudios mínimos Universitario Carreras 1. Economía
4. Ingeniería Civil en Informática / Computación
5. Ingeniería Civil Matemática
Requisitos mínimos Required Qualifications
5+ years of experience in one or a combination of reporting, analytics, or modeling; or a master’s degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business / social and behavioral sciences with a quantitative emphasis and 2+ years of experience in one or a combination of reporting, analytics, modeling
Excellent analytical, critical thinking, and problem-solving skills with attention to detail and accuracy
Ability to communicate effectively to senior and executive leaders
Demonstrated SQL skills to include the ability to write complex queries and database knowledge in order to analyze data across a variety of sources
Demonstrated ability to lead a team in a matrixed environment
Knowledge of Consumer Lending products and business processes, including mortgage, auto finance, and personal lending
Prior experience working with risk and / or analytic capabilities
Ability to plan, prioritize, and set goals; must possess strong collaborative skills
Demonstrated ability to execute effectively in a matrixed organization, developing partnerships with various business and functional areas
Demonstrated ability to build and maintain strong credible relationships with key stakeholder groups
Expertise with SAS, Python, or R
Experience with supervised and unsupervised machine-learning techniques
Experience with Big Data capabilities, particularly Teradata Aster, Hadoop, and Spark
Data visualization experience using a BI Tool (e.g., Tableau, Microsoft BI, etc.) Idiomas Inglés ( Lectura : Nivel avanzado / Escritura : Nivel avanzado / Conversación : Nivel avanzado )
Tipo de contrato Efectivo Duración Indefinite Jornada Laboral Full Time