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Wells Fargo is seeking a Vice President, Front Office Risk Engine Quantitative Developer to help design, build, and evolve a cross-asset valuation and risk platform supporting Rates, FX, Credit, Municipals, Treasuries, and Agencies. The role focuses on strategic risk platforms that power valuation, risk, P&L, and regulatory workflows, operating at scale across intraday and end-of-day (EOD) processing. You will work closely with Front Office, Risk, and Finance stakeholders to deliver robust, high-performance systems that support trading, risk management, P&L attribution, and financial control.
Job Responsibility:
Design and develop valuation and risk engines across Rates, FX, Credit, Munis, Treasuries, and Agencies
Support pricing, sensitivities, full revaluation, P&L attribution, and capital use cases on a shared platform
Integrate quantitative models into production-grade Java services with a strong focus on robustness and performance
Build and enhance Vasara risk and valuation services, including evaluators, result services, and data distribution layers
Develop distributed, stateful computation using Apache Ignite or similar in-memory / distributed data technologies
Ensure scalability for millions of positions and events across asset classes
Architect and maintain EOD batch frameworks for valuation, risk, and P&L generation
Support EOD risk and long-running valuation processes
Optimize performance, batch runtimes, and cluster utilization under heavy workloads
Partner closely with Finance on: Clean and comprehensive P&L, P&L Attribution and Explain, Valuation Control and Finance sign-off
Work with Market Risk and Capital teams to ensure consistency across valuation, risk, and reporting outputs
Align technical design with downstream Finance, Risk, and Regulatory requirements
Own critical production components, including performance tuning, data consistency, and resiliency
Diagnose and resolve complex issues related to distributed queries, indexing, memory pressure, and concurrency
Collaborate with infrastructure teams on design, BCP, and capacity planning
Requirements:
5+ years of Securities Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education