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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Vice President, Full-Stack Engineer - **Company:** The Bank of New York Mellon Corporation - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Cloud Computing, Distributed Systems, Python (Programming Language), Software Architecture, Software Engineering, Web Applications, Enterprise Data Management, Data Processing, ReactJS, Parallel Computation, Event Driven Architecture, Containerization, AngularJS, Pyspark, Information Technology, Data Management, Microservices - **Published:** September 18, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18351780?backUrl=%2Fcareer%2F18351780%2FSenior-Vice-President-Full-Stack-Engineer-New-York-New-York ## About the Role * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline. Advanced degree preferred. * 10+ years of software engineering experience within financial services, with significant experience building and operating enterprise-scale risk, trading, or data platforms. * Proven track record designing and implementing risk engines, risk intelligence platforms, enterprise data platforms, or large-scale analytical systems. * Strong hands-on expertise in Python, PySpark, distributed computing, parallel processing, and large-scale data engineering. * Experience developing modern web applications and user experiences using Angular and/or React. * Deep understanding of software architecture, distributed systems design, microservices, event-driven architectures, and cloud-native technologies. * Experience partnering with Quantitative Research teams and implementing analytical models supporting credit risk, market risk, stress testing, pricing, exposure calculations, or related risk disciplines. * Demonstrated ability to manage complex stakeholder relationships across business, quantitative, risk, and technology organizations. * Strong leadership experience managing globally distributed engineering teams and delivering large-scale transformation initiatives. * Excellent communication, influencing, and strategic planning skills. * Ability to balance hands-on technical leadership with delivery execution in a fast-paced and highly regulated environment. ## Description * Lead the design, development, and modernization of strategic risk platforms supporting Credit Risk, Market Risk, Counterparty Credit Risk, Treasury Risk, and enterprise Risk Intelligence capabilities. * Drive the architecture and implementation of scalable, distributed systems responsible for risk calculations, analytics, data processing, regulatory reporting, and risk intelligence workflows. * Partner closely with Risk Managers, Quantitative Research teams, Business stakeholders, and senior technology leaders to translate complex business requirements into robust engineering solutions. * Lead a global team of software engineers and technical specialists, driving execution excellence, engineering discipline, and measurable business outcomes. * Build and enhance next-generation risk engines, data platforms, and risk intelligence platforms capable of supporting large-scale analytics, scenario analysis, stress testing, valuation, and exposure calculations. * Establish technology strategies leveraging cloud, distributed computing, parallel processing, AI, and modern data architectures to improve scalability, resiliency, and operational efficiency. * Drive delivery of high-impact initiatives while maintaining strong controls, data quality, platform stability, and regulatory compliance. * Contribute as a hands-on technical leader by influencing architecture decisions, troubleshooting complex engineering challenges, reviewing designs, and mentoring engineering teams. * Foster strong collaboration across global development teams to accelerate innovation and standardize engineering best practices. * Champion a culture of accountability, continuous improvement, technical excellence, and client-focused delivery. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Watch Tests Go Brrrr! 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