Vice President, Full-Stack Engineer

In this role, you’ll make an impact in the following ways:

• Experience developing applications for market risk, credit risk, liquidity risk, stress testing, forecasting, or regulatory reporting.
• Understanding of mathematical and financial models, model implementation, validation controls, and data-quality requirements.
• Experience with real-time or near-real-time data ingestion, high-volume processing, and highly available enterprise platforms.
• Exposure to AI-assisted development tools and the responsible use of AI across design, coding, testing, documentation, and production support.
• Experience presenting technical strategy, delivery status, risks, and trade-offs to senior stakeholders.
• Strategic thinking combined with a strong bias for execution.
• Sound judgment in balancing speed, quality, security, risk, and long-term maintainability.
• Ability to influence without authority and build alignment across diverse teams.
• Commitment to mentoring engineers, improving engineering maturity, and creating an inclusive, collaborative team environment.
• Lead the architecture, design, development, testing, deployment, and support of end-to-end full-stack applications.
• Build responsive user experiences, robust APIs, scalable backend services, and reliable data integrations using modern engineering practices.
• Translate business, product, risk, and regulatory requirements into maintainable technical designs and delivery plans.
• Develop and integrate workflows for financial forecasting, stress testing, scenario analysis, sensitivity analysis, attribution, and risk reporting.
• Collaborate with quantitative and risk teams to productionize analytical and machine-learning models developed in Python, R, or related technologies.
• Establish engineering standards for code quality, security, testing, observability, performance, and resiliency.
• Drive code reviews, automated testing, CI/CD adoption, release governance, and production-readiness reviews.
• Troubleshoot complex production issues, optimize application performance, and ensure service-level expectations are met.
• Provide technical mentorship, influence architecture decisions, and foster a culture of ownership and continuous improvement.
• Manage priorities, dependencies, risks, and delivery commitments across cross-functional teams and stakeholders.

To be successful in this role, we’re seeking the following:

• Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Data Science, Financial Engineering, or a related quantitative discipline.

• Typically 4-9 years of software engineering experience, including significant ownership of enterprise application delivery; financial-services experience is strongly preferred.

• Demonstrated ability to lead technical design and delivery while remaining hands-on with development and problem solving.

• Strong written and verbal communication skills, with the ability to explain complex technical concepts to engineering and business stakeholders.

• Experience working in Agile delivery models and coordinating work across product, engineering, risk, operations, and control functions.