Analyst

• Develop credit approval policies for the various financial products, ensuring the risk levels defined in their strategic planning are maintained.
• Develop KPIs, controls, and quality processes for ongoing operational monitoring; manage strategic product indicators and propose improvements and/or actions to maximize results.
• Conduct studies and analyses (for various purposes) to challenge current strategies and policies and/or assess the adoption of new technologies and market trends.
• Evaluate existing processes to mitigate risks: map and document workflows, strengthen security layers, automate processes, and design projects to support product development and the Risk area.
• Contribute to various topics within the area, adding value to the business and the Risk team, and mentoring peers and more junior colleagues.
• Prepare presentations for Risk committees, providing context on the area's status, indicator performance, actions taken, and action plans (next steps).

Credit Policy Analyst

Product Manager

• Define and prioritize requirements related to card authorizations;
• Ensure that requirements aligned with the business team are properly prioritized by the development team;
• Act as a bridge between technical and business areas to drive continuous product evolution;
• Facilitate agile rituals and ensure deliveries of quality and added value;
• Manage technical and functional backlog with a focus on performance and security;
• Monitor squad KPIs;
• Collaborate with technical teams, fraud prevention, product, and technology teams;

Junior Product Owner – Card Authorizations

Backend Engineer

• Develop new features or medium-complexity implementations and refinements, working with moderate autonomy.
• Test and fix bugs, interacting with other teams for development or fixes; correct defects during testing and user acceptance (UAT) and after product deployment; work autonomously.
• Collaborate with the Squad team, creating synergy for the smooth progress of the project.
• Interact with the Product Owner and Designer to resolve questions and build the best technical solution for the business requirement.
• Possess advanced programming knowledge; mentor more junior team members.
• Contribute across various topics within the area, adding value to the business and the Technology team.

Developer – Python

Data Engineer

• Support the extraction of data from various sources (databases, APIs, spreadsheets, etc.).
• Perform data cleaning and preprocessing to ensure consistency and quality.
• Help organize and structure datasets and databases.
• Assist the team with maintenance and improvements of the Data Lake environment.
• Develop and document scripts to automate repetitive tasks related to data processing or analysis.
• Keep clear and organized documentation of performed activities.
• Participate in team meetings and contribute ideas to improve processes and projects.
• Commit to learning new tools, techniques, and programming languages (Python, SQL, Spark, Terraform, etc.).
• Keep up with trends in Data Science and propose innovations when applicable.

Data Engineer – Data & AI Assistant (Exclusively for People with Disabilities)

Full-stack Engineer

• Elaborar soluções tecnológicas de média complexidade para os problemas identificados pelos gestores, pelos analistas de negócio ou a partir de suas próprias análises;
• Garantir o funcionamento e qualidade das soluções propostas com autonomia;
• Ser líder técnico para as equipes e visto como referência dentro da área;
• Definir arquiteturas de novos sistemas junto aos squads de desenvolvimento, bem como melhorias para os sistemas atuais;
• Contribuir com os diversos temas da área, agregando valor ao negócio e a equipe de Tecnologia;
• Interagir com várias áreas existentes na empresa; orientar os times de tecnologias na condução do processo de adoção de novas tecnologias;
• Receber orientações das posições mais sêniores e da gestão e orientar os níveis mais júniores;

Líder Técnico

Threat Intelligence Specialist

• Work closely with technology, business, Data Scientists and Data Engineers on analytical and automation projects;
• Operate and configure automation tools and data agents, ensuring analysis quality and consistency;
• Extract data from primary and secondary sources, cleaning and organizing relevant information;
• Evaluate and validate outputs produced by generative AI (dashboards, text, analyses) to ensure accuracy and reduce bias;
• Analyze and interpret results using statistical techniques and analytical tools;
• Identify trends and patterns in datasets, proposing improvements to business processes;
• Create automated reporting and dashboard workflows to reduce repetitive manual tasks;
• Support rapid experimentation initiatives with LLMs/AI models in collaboration with Data Scientists;
• Document, version and monitor work performed, following established standards.

DM

Credit Policy Analyst

Junior Product Owner – Card Authorizations

Developer – Python

Data Engineer – Data & AI Assistant (Exclusively for People with Disabilities)

Líder Técnico

Data Engineer – Mid-level Data Intelligence Analyst