Build and maintain internal dashboards, portals, and GUI-based tools for trading and operations teams
Develop automation solutions to streamline manual workflows and improve operational efficiency
Work directly with business stakeholders to translate requirements into technical solutions
Design and manage data pipelines and reporting systems using SQL and Python
Contribute to full-stack development (front-end interfaces + backend systems)
Partner with Operations to identify opportunities for process improvement and automation
Ensure data accuracy and integrity across financial and operational reporting

Degree in Computer Science, MIS, or similar
5+ years of experience in software engineering or related roles
Strong proficiency in:
SQL (data querying, transformation, reporting)
Python (scripting, automation, data workflows)
C# (or similar backend language)
Experience building full-stack applications, including dashboards, portals, or internal tools
Ability to work cross-functionally with non-technical stakeholders
Strong problem-solving skills and a bias toward automation and efficiency
Experience in banking, financial services, or proprietary trading environments
Familiarity with financial products, particularly:
Bonds
Futures
Exposure to trading or operations workflows
Basic understanding of accounting principles (e.g., P&L, reconciliations, reporting)
Experience working with real-time or high-volume data environments

Data Automation Engineer

Key skills