Teams at Proclink

Design, develop, test, document, and maintain scalable Java features for an enterprise fintech credit decision engine. Analyze ambiguous business requirements, decompose them into technical tasks, implement GraphQL and AWS-based solutions, and ensure quality through unit, integration, and end-to-end testing. Collaborate cross-functionally, participate in code reviews, use AI-assisted development responsibly, and contribute to continuous engineering improvement.

Deliver data and analytics solutions for a U.S. insurance client by defining business problems, conducting exploratory and statistical analysis, building Power BI dashboards, and working with large datasets using SQL, Python, or R. Present actionable insights to stakeholders, ensure regulatory alignment, and collaborate with data engineering and AI/ML teams.

Monitor fraud dashboards, investigate suspicious transactions and accounts, identify fraud patterns, analyze transaction data with SQL and Excel, and support fraud detection strategy development. Build reports and dashboards, evaluate fraud rules and model performance, document findings, and collaborate with Risk, Operations, Compliance, and Product stakeholders to address anomalies and mitigate losses.