Especialista IT Digital - Data & Machine LearningPostula
Gracias por tu interés en ser parte de Scotiabank Perú y apreciamos tu postulación. Estamos en la búsqueda de personas con talento que quieran crecer y lograr los objetivos de nuestra organización. ¡Te deseamos mucho éxito dentro de este proceso!
At Scotiabankwe have created Digital Factory, with the purpose of creating a digital bank that simplifies people's lives and helps them achieve their goals through relevant, inclusive and reliable experiences, with the best local talent.
Purpose of the position:
Contributes to the overall success of the Software Engineer II in the Data & Machine Learning chapter at Scotiabank at Scotiabank Peru ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.
What we expect from you?
- Bachelor's degree in Computer Science or related field.
- Minimum 2 years of industry experience or more.
- Excellent knowledge Programming Languages & Environments, Functional Programming, Algorithms and Data Structures, Software Testing, Evolution and Maintenance, Cloud Computing
Data Ops, Data Modelling and Governance, Data & Machine Learning Pipelines, Analytical and Operational Databases.
- Advanced skills in Solution Design and Architecture, Technology Architecture, Software Design and Architecture, Retail Banking Business Domains, Backend Development, Operating Systems and Platforms, Behavior Driven Development, Non-functional Testing, Test Automation and Cryptography.
- English language skills at an advanced level.
What challenges will you face?
-Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
-Develop high quality, mantainable and evolvable software, caring for key software metrics and assuring proper testability and testing coverage.
-Implement tools and practices for lifecycle management of data pipelines, data assets and machine learning models, from design to operation to evolution.
-Define, evolve and govern data models, considering privacy, security, data quality, value delivery and agility.
-Design, build and evolve data pipelines and operationalize machine learning models.
-Design, train, validate and evaluate machine learning model to deliver digital experiences and digital conversations.
-Contribute to the software development lifecycle with little guidance, participate in current and new initiatives, and take ownership for your work and your craft.
-Build and evolve data platforms, data pipelines, operationalize machine learning models and expose data as APIs and events to offer data-driven digital experiences and digital conversations. Use technologies like Python, Java, Spark, Kafka, BigQuery, Parquet, Airflow, SQL and Git, are highly skilled in software engineering and computer science, and love to learn and co-create with multidisciplinary teams.
-Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
-Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
-Champions a high performance environment and contributes to an inclusive work environment.
Ofrecemos un buen ambiente laboral, prestaciones superiores a las de ley, la oportunidad para realizar voluntariado y/o actividades de Responsabilidad Social. Scotiabank esta considerado como el mejor grupo financiero para trabajar en Perú y con presencia internacional.
Agradecemos tu interés, sin embargo, únicamente los candidatos/as seleccionados para entrevista serán contactados.
**Scotiabank es una empresa incluyente, que respeta la diversidad y no hace ningún tipo de discriminación**