Topaz

Business Analyst

• Strong understanding of consortium rules and market knowledge
• Ability to lead meetings and manage crises independently, providing continuous and relevant status updates to the Product Manager (PM)
• Define necessary solutions for specific problems while seeking generalizable solutions that can add value to the product, ensuring that deliveries meet customer expectations.

Junior Business Analyst

Backend Engineer

• Participate in the integration of the Topaz One LATAM platform, developing connectors and Java backend APIs.

Integrations Developer, Backend

Data Scientist

• Analyze structured and unstructured data to identify patterns of fraud and money laundering.
• Develop Machine Learning models (classification, clustering, anomaly detection) for financial security problems.
• Apply feature engineering, handle missing values, normalize data, and balance datasets.
• Ensure proper dataset separation and validation, avoiding data leakage.
• Create visualizations to communicate results to technical and non-technical audiences.
• Experiment with and compare algorithms (Scikit-Learn, LightGBM, CatBoost, TensorFlow).
• Query and explore data via SQL in distributed sources (Athena).
• Handle structured data (CSV, Parquet) and unstructured data (JSON, images).
• Prepare and transform data for modeling.
• Version experiments and models with MLflow and DVC.
• Monitor model performance in production (business metrics and ML metrics).
• Detect and address data drift and concept drift with corrective actions.
• Build and maintain model monitoring dashboards (Grafana or similar).
• Configure alerts for performance degradation and operational anomalies.
• Collaborate with the engineering team to define retraining and model versioning strategies.
• Research new ML techniques and algorithms applicable to the domain.
• Apply explainability (XAI) to support decision-making and regulatory compliance.
• Contribute to technical documentation and team best practices.
• Collaborate with engineering teams on model integration and deployment.

Senior Data Scientist

Software Engineer

• You will develop implementation and evolutionary development projects within established deadlines and quality standards, using the company’s proprietary high-level (4GL) programming language (Topaz).
• You will acquire functional knowledge of the financial business.
• You will program using tools such as Jasper and Kettle.
• You will perform SQL database queries and programming (stored procedures, packages, views).
• You will act as a consultant to clients, proposing solutions.
• You will perform performance analysis.
• You will interact with various operating systems, communication systems, network systems, and channel systems.

Developer

• Work on the development, evolution and maintenance of robust, scalable technology solutions in a .NET environment, contributing to business value delivery with quality, security and alignment to software engineering best practices.
• Develop, test and maintain applications using the .NET ecosystem (.NET / .NET Core / ASP.NET).
• Participate in the definition of architecture, technical standards and development best practices.
• Implement REST APIs, integrations and services.
• Collaborate with Product, QA, Architecture and DevOps teams.
• Analyze and fix bugs, ensuring application stability and performance.
• Write clean, reusable and testable code, following quality principles.
• Support code reviews and promote best practices within the team.
• Take part in agile ceremonies and contribute to the continuous improvement of development processes.
• Document technical solutions when necessary.

Artificial Intelligence

• Analyze and interpret complex data, identifying opportunities to optimize processes and drive innovation in BackOffice and Product Development.
• Develop and implement interactive dashboards and intelligent reports using Business Intelligence (BI) tools.
• Collaborate with multidisciplinary teams to understand business challenges and propose AI-based solutions.
• Support the development of Machine Learning and Deep Learning models, applying advanced techniques such as natural language processing (NLP), using LLMs, AI agents, and predictive analytics.
• Participate in digital transformation projects, providing data-driven insights for continuous innovation.
• Communicate results and recommendations clearly and strategically to stakeholders.

AI Analyst

• **Your Role as a Driver of Transformation:**
• **Software Development and Implementation:** Design, develop, and deploy applications using .NET and Angular technologies, ensuring efficient, high-quality code. Collaborate on system architecture and design, applying development best practices.
• **Requirements Analysis:** Work with product teams and stakeholders to understand business requirements and translate them into viable technical solutions.
• **Maintenance and Support:** Perform continuous maintenance and enhancements on existing systems, including support for .NET Framework applications with WebForms to ensure compatible integration and evolution, fix bugs, and implement new features. Provide technical support and guidance to junior team members, fostering a learning environment.
• **Testing and Quality Assurance:** Create and execute automated tests to ensure application functionality and performance. Participate in code reviews, offering constructive feedback to ensure software quality.
• **Documentation:** Keep technical documentation up to date, including design specifications, user manuals, and API guides.
• **Team Collaboration:** Work closely with development, QA, and operations teams to deliver high-quality solutions. Participate in agile ceremonies such as sprint planning and retrospectives, contributing to continuous process improvement.
• **Project and Initiative Leadership:** Lead development initiatives, ensuring solutions are delivered on schedule. Identify opportunities to improve existing processes and technologies, and contribute to defining team coding and architecture standards.
• **Professional Development:** Stay current with the latest trends in software development, .NET and Java technologies, and programming best practices. Participate in training and workshops, sharing knowledge with the team.

Senior Developer Analyst

Analyst

• Diseñar, impulsar y consolidar iniciativas de transformación y fortalecimiento cultural que aceleren nuestra evolución como organización.
• Diseñar la estrategia cultural: Traducir la visión de Topaz en programas e iniciativas concretas que fortalezcan nuestro ADN y nuestros valores. Identificarás oportunidades y brechas culturales para proponer acciones de alto impacto.
• Fomentar la innovación y nuevas formas de trabajo: Impulsar una mentalidad de experimentación y aprendizaje, promoviendo la adopción de herramientas como la IA para potenciar nuestro trabajo.
• Co-crear la experiencia Topazer: Diseñar y coordinar experiencias, rituales y programas que refuercen nuestro sentido de pertenencia.
• Medir para evolucionar: Definir y analizar métricas de cultura y clima organizacional (encuestas, feedback, etc.) para generar insights que orienten las decisiones del liderazgo y nos permitan mejorar continuamente.
• Impulsar el liderazgo por el ejemplo: Trabajar en colaboración con líderes y equipos de toda la organización para activar los comportamientos deseados, facilitando talleres y espacios de co-creación que inspiren y movilicen.

Senior Culture Analyst

• Responsible for developing and implementing automated tests to ensure the robustness of the systems that make up the full-banking platform, with a focus on Investment products, coordinating with the rest of the team working across different layers of the infrastructure and ensuring application performance, quality, and responsiveness.
• Plan and develop products with a focus on quality and collaborate with teams from different areas, following development best practices.
• Perform exploratory testing of developed features and automate product tests, always seeking best practices throughout the development stages.

Test Automation, Python

• Participate in the software development team, aiming to deliver solutions with high quality and reliability, interacting with cross-functional professionals from all areas of expertise and adapting to new scenarios.
• For performing your duties, it is important that you are proactive and autonomous in discussing the best way to solve a problem, and meticulous about organizing software code and deliverables.

Developer Analyst

• Gathering, improving, and maintaining methodologies related to Topaz's core business processes, such as Product Development, Implementation, and Services.
• Supporting the execution of internal and external audits for the organization: ISO, SOC1, SOC2, client audits, and others.
• Providing support to Topaz employees on methodologies related to core business processes.
• Supporting the custody and management of international certifications such as ISO, SOC1, SOC2, and PCI.
• Assisting in responses to assessments, RFPs, and RFIs.
• Supporting the conduct of CAR (Root Cause Analysis) ceremonies.
• Executing Quality Assurance processes for procedures and methodologies related to core business processes.

Senior Process & Quality Analyst

• Contribuir proactivamente a la estrategia de compensación y beneficios de la empresa, asegurando equidad interna y competitividad externa en el mercado de talentos. Implementar y monitorear programas que logren atraer y mantener a los colaboradores, alineado a los objetivos organizacionales y las mejores prácticas del sector, integrando soluciones de inteligencia artificial y automatización de procesos.
• Optimización de Beneficios: Ejecutar y mejorar procesos de beneficios, utilizando automatización y retroalimentación de los colaboradores para garantizar eficacia y una experiencia positiva.
• Innovación en Beneficios: Identificar nuevas oportunidades de beneficios y asociaciones estratégicas, promoviendo mejoras continuas e integrando soluciones innovadoras que atiendan las necesidades de los colaboradores.
• Estrategia de Compensación: Elaborar y actualizar tablas salariales, considerando la política de remuneración, el impacto en los costos de personal y el análisis de datos para garantizar la equidad salarial y la competitividad en el mercado.
• Análisis de Mercado: Monitorear la competitividad de la empresa en el mercado, utilizando herramientas de Business Intelligence (BI) y análisis comparativos para realizar investigaciones salariales e identificar tendencias emergentes.
• Desarrollo de Indicadores: Desarrollar y actualizar indicadores de desempeño del área de compensación y beneficios, utilizando técnicas de People Analytics para proporcionar información accionable que respalde la toma de decisiones.
• Cumplimiento y Gobernanza: Asegurar el cumplimiento con regulaciones de IA y LGPD, implementando prácticas de gobernanza y auditoría para decisiones automatizadas en el área de remuneración y beneficios.

Compensation & Benefits Senior Analyst

Machine Learning Engineer

• We are seeking a Machine Learning Engineer (MLOps) to join our data team to help combat cybercrime and prevent money laundering.
• You will be responsible for ensuring our machine learning models are deployed, monitored, and maintained in production with operational excellence, scalability, and reliability.
• Develop and maintain automated ML pipelines (CI/CD) for model training, validation, and deployment
• Adapt data transformation pipelines for machine learning model inference
• Ensure scalability and availability of ML applications in production environments
• Collaborate with Data Scientists to build robust, scalable pipelines
• Deploy continuous monitoring systems for model performance in production
• Identify and mitigate performance degradation, data drift, and concept drift
• Establish alerts and dashboards to track critical metrics (Grafana or similar)
• Implement automated retraining strategies and model versioning
• Update models with new data while maintaining traceability and governance
• Provide infrastructure for explainability techniques (XAI), ensuring transparency and regulatory compliance
• Explore and evaluate new MLOps technologies, frameworks, and tools

• Analyze structured and unstructured data to identify patterns of fraud and money laundering
• Develop machine learning models (classification, clustering, anomaly detection) for financial security problems
• Apply feature engineering, handle missing values, normalize data and balance datasets
• Prevent data leakage when splitting and validating datasets
• Create visualizations to communicate results to different audiences
• Experiment with various algorithms (Scikit-Learn, LightGBM, CatBoost, Keras, TensorFlow, PyTorch)
• Work with distributed data stores (Athena, Hive) processing large volumes
• Optimize SQL queries to reduce cost and execution time
• Handle structured data (CSV, Parquet) and unstructured data (JSON, images)
• Develop data transformation and preparation pipelines
• Create and maintain automated ML pipelines (training, validation, deployment)
• Containerize applications with Docker
• Manage pods and deployments with Kubernetes
• Ensure scalability and availability of solutions
• Monitor model performance in production
• Detect and remediate data drift and concept drift
• Configure alerts and metric dashboards (Grafana or similar)
• Implement automated retraining and model versioning
• Apply explainability techniques (XAI) for regulatory compliance
• Research new technologies and ML algorithms
• Contribute to best practices and technical documentation
• Stay up to date in Data Science and Machine Learning

Full Stack Data Scientist

Financial Planning and Analysis

• As CFO LATAM at Topaz, you will play a central role in corporate governance, the CEO relationship, financial structuring and key decision-making, ensuring financial strength and scalability of the business.
• Lead short-, medium- and long-term financial strategy aligned with the company’s growth plan.
• Act directly on IPO readiness, including corporate structuring, internal controls, audits and regulatory compliance.
• Lead FP&A, Accounting, Treasury, Tax, Tax Planning, Legal, Payroll, Controllership, Procurement and Facilities.
• Manage relationships with investors, banks, auditors, advisors and the capital markets.
• Define and monitor financial KPIs, performance metrics, cash flow, fundraising and capital allocation.
• Implement and strengthen corporate governance, internal controls and risk management.
• Ensure compliance with accounting standards (IFRS / US GAAP, when applicable) and regulatory requirements.

Junior Business Analyst

Integrations Developer, Backend

Senior Data Scientist

Developer

Developer

AI Analyst

Senior Developer Analyst

Senior Culture Analyst

Test Automation, Python

Developer Analyst

Senior Process & Quality Analyst

Compensation & Benefits Senior Analyst

Machine Learning Engineer

Full Stack Data Scientist

Chief Financial Officer (LATAM)