OBJECTIVE
Be part of a multi-disciplinary team of Products Architects, and people with very diverse but specific skills such as UX, storytelling, Data Visualization, Python Scripting and deep-industry knowledge. Contribute as a core team member, driving end-to-end change and results for our clients. We are looking for an out-of-the-box thinker, passionate about innovation and agile development.
RESPONSABILITIES
Architect and develop web platforms that productize Finance data from the GCP lake, exposing curated datasets and analytical capabilities to Finance personas.
Own stack decisions across frontend, backend, data access, integration, and AI layers for Finance-facing digital products.
Design and implement the integration fabric across GCP, AWS, Azure, Power BI, SharePoint, Power Automate, Excel, and internal ERPs.
Design the AI layer for Finance use cases, including agent frameworks, prompt design, validation logic, and testing protocols for variance explanation, forecast assistance, query generation, and anomaly detection.
Embed statistical models (forecasting, anomaly detection, variance decomposition) and Generative AI capabilities directly into Finance applications.
Build the complete full-stack of applications with strong UX, ensuring solutions are secure, accessible, maintainable, scalable, and performant.
Proactively simplify code, resolve architectural deficiencies, and create reusable Finance components that compound value across initiatives.
Partner with Finance stakeholders, Data Scientists, UX designers, and product managers to translate Finance pain points into technical designs.
Ensure application quality through testing, debugging, and performance optimization.
Participate in code reviews, knowledge sharing, and continuous improvement.
Support deployments, monitoring, and incident resolution in production environments hosting financial data.
REQUIREMENTS
2-3 years of software development delivering high-value business solutions.
Ability to work across multiple Finance initiatives in parallel.
Autonomous execution with judgment to escalate when blocked.
Team-oriented mindset, comfortable interacting with Finance business stakeholders to understand the product context.
Proactive problem-solver who brings solutions, not just questions.
Effective verbal and written communication, including the ability to translate technical concepts for Finance audiences.
SKILLSET
Strong proficiency in TypeScript and modern JavaScript (ES6+).
Solid experience with Node.js for backend development.
Experience building RESTful APIs and understanding of microservices-based architectures.
Good knowledge of SQL and relational databases, with the ability to model financial data structures (chart of accounts, hierarchies, time dimensions).
Experience developing frontend applications using modern frameworks (React preferred).
Experience developing frontend applications using modern frameworks (React preferred), including data visualization libraries such as D3.js for building custom Finance dashboards and interactive charts.
Familiarity with authentication/authorization mechanisms (OAuth, JWT, etc.) and role-based access control patterns relevant to Finance segregation of duties.
Knowledge of software development best practices (clean code, version control, CI/CD).
Experience working in agile development environments (Scrum / Kanban).
Demonstrated ability to understand Finance business context or strong willingness to acquire it rapidly.
Strong problem-solving skills and attention to detail, non-negotiable when working with financial figures.
Willingness and curiosity to apply Generative AI within Finance use cases.
NICE TO HAVE
Experience integrating or embedding Power BI reports using Power BI Embedded with row-level security propagation.
Python proficiency for data processing, statistical analysis, and automation, including libraries such as pandas, numpy, statsmodels, scikit-learn, prophet, and PyOD.
Experience connecting GCP services (BigQuery, Cloud Storage, Cloud Functions) to web applications for Finance data lake consumption.
Familiarity with the Microsoft Finance ecosystem: SharePoint Online, Power Automate, and Excel integration via Microsoft Graph API.
Experience with containerization (Docker) and CI/CD pipelines.
Understanding of data modeling, analytics, and BI concepts applied to financial reporting (star schemas, slowly changing dimensions, period-over-period comparisons).
Hands-on experience with financial data or finance-related applications (ERP integrations, reconciliation, forecasting, management reporting).
Exposure to Generative AI integration patterns: retrieval-augmented generation (RAG), agentic workflows, and using LLM APIs (Anthropic Claude, OpenAI) for document understanding and narrative generation in regulated environments.
