Vice President, Full-Stack Engineer

4 days ago

Pune, IndiaStaff+

Responsibilities

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.
Translate business, product, risk, and regulatory requirements into maintainable technical designs and delivery plans.
Develop 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 standards for code quality, security, testing, observability, performance, and resiliency.
Drive code reviews, automated testing, 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 ownership and continuous improvement.
Manage priorities, dependencies, risks, and delivery commitments across cross-functional teams and stakeholders.

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.
Demonstrated ability to lead technical design and delivery while remaining hands-on with development and problem solving.
Experience with market risk, credit risk, liquidity risk, stress testing, forecasting, or regulatory reporting applications.
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.
Experience presenting technical strategy, delivery status, risks, and trade-offs to senior stakeholders.
Strong written and verbal communication skills and 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.
Financial-services experience is strongly preferred.
Exposure to AI-assisted development tools and responsible AI use across the software lifecycle is expected.

10,000+ employees