We’re seeking a future team member for the role of Vice President Full Stack Engineer to join our Engineering team. This role is located in USIn this role, you’ll make an impact in the following ways:Design and develop Python-based solutions for risk integration, orchestration, and data processingBuild and manage end-to-end risk workflows including trade ingestion, compute, aggregation, and reportingDevelop and maintain test harness, regression frameworks, and quality engineering standardsOptimize data pipelines and compute frameworks to ensure performance, scalability, and reliabilityImplement CI/CD pipelines and automate engineering tasks using Python, Shell, and PowerShellApply AI and agentic workflow concepts to improve automation and operational efficiencyTo be successful in this role, we’re seeking the following:Bachelor's or master's degree in computer science, Engineering, or related disciplineStrong hands-on experience in Python,PySpark with JavaExperience with SQL Server, Oracle, and MongoDBProficiency in Linux (Shell scripting) and Windows (PowerShell)Experience in CI/CD, integration, workflow orchestration, and test automationStrong knowledge of core financial risk concepts and developer workflows, including market risk and counterparty risk, VaR/SVaR, sensitivities, stress testing, PnL, pricing and exposure measures across fixed income, cash equity, FX, and derivatives. Strong understanding of fixed income instruments such as government bonds, corporate bonds, municipal bonds, callable bonds, asset-backed securities, and MBS, as well as cash equities.Experience working with financial risk platforms and integrations, including Quant Model, with expertise in upstream source onboarding, market data discovery and sourcing, security master and reference data onboarding, price ingestion and validation, data quality controls, reconciliation, workflow orchestration, issue triage, and support for audit, controls, and production resiliency.Strong understanding of solution architecture and design, with emphasis on implementing secure, controlled environments incorporating IT controls, including vulnerability management, security best practices, and compliance frameworks.Exposure to AI/ML, agentic workflows, and automation-first engineering mindset