Jobs at Fortunize India Technology Solutions Private Limited

Design, develop, and implement robust software applications supporting investment strategies. Translate business requirements into technical specifications, integrate proprietary and third-party solutions, ensure code quality and performance, and provide technical leadership. Collaborate with cross-functional teams while taking ownership of projects and applying modern development practices in a financial services environment.

Develop and maintain Tableau or Sigma dashboards, reports, and visualizations across business departments. Translate stakeholder requirements into BI solutions, define KPIs, optimize data sources and workbooks, automate data refreshes, and communicate actionable insights. The role also involves advanced SQL, data modeling, Python scripting, documentation, and collaboration on finance-related data.

Design, develop, and maintain data infrastructure, pipelines, ETL/ELT processes, data warehouses, models, and schemas. Transform and validate complex datasets, implement analytics solutions, and support data governance and quality. Collaborate with technical and non-technical stakeholders to translate business requirements into reliable data solutions. Document data processes and communicate findings across departments including Credit, Structuring, Operations, and Legal.

Develop and maintain Tableau or Sigma dashboards, reports, and visualizations across business departments. Translate stakeholder requirements into scalable BI solutions, define KPIs, optimize workbooks and data sources, automate data refreshes, and deliver executive insights. The role requires advanced SQL, data modeling, database experience, intermediate Python, strong analytical skills, and familiarity with finance-related datasets. dbt pipeline development is preferred.

Develop and maintain operational dashboards, recurring reports, and data queries supporting loan origination, underwriting, and portfolio management. Analyze KPIs, application trends, merchant behavior, and advance performance while ensuring data accuracy and resolving discrepancies. Collaborate with cross-functional teams to translate reporting needs into visualizations, document data definitions, support governance, and deliver ad hoc analysis.

Provide senior application support for private credit and lending platforms, serving as the escalation point for incidents, integrations, data issues, and application health. Lead triage, root cause analysis, remediation, post-mortems, releases, monitoring, vendor escalations, and stakeholder communications. Develop automation and support documentation, enforce SLAs, drive permanent fixes, and mentor junior staff. The role requires financial-services workflow knowledge, SQL, scripting, database troubleshooting, production support, and experience with Windows or Linux environments and monitoring tools.

Develop and implement robust, scalable applications supporting investment strategies. Collaborate with cross-functional teams to translate business requirements into technical solutions, integrate proprietary and third-party systems, and maintain code quality and performance. The role requires .NET, C#, SQL Server, object-oriented programming, and financial services experience, with opportunities to provide technical leadership and own software projects.

Manage daily accounting for client entities, including bank transactions, accounts receivable, accounts payable, cash analysis, and financial statement preparation. Coordinate audit deliverables and requests across regions, support billing and collections, oversee invoice processing, and provide backup for the Assistant Controller. Coach junior team members, promote analytical thinking, and ensure adherence to U.S. GAAP requirements.

Develop predictive models for commercial credit risk, underwriting, pricing, customer segmentation, and portfolio performance. Analyze financial, behavioral, and merchant data; conduct experiments; integrate models into production; and create monitoring tools supporting model performance, governance, explainability, and regulatory compliance. Collaborate with Credit Risk, Underwriting, Product, Engineering, and Compliance teams, communicating technical findings and business recommendations to diverse stakeholders.

Validate dbt borrowing base pipeline outputs against counterparty reports, investigate discrepancies, monitor pipeline runs, document root causes, resolve straightforward data issues, and escalate complex problems to Analytics Engineering. The role also maintains reconciliation procedures, communicates findings to stakeholders and counterparties, and may contribute minor dbt model fixes. It offers a path to lead a team of 3–5 analysts.