Senior Technology Lead, XVA Data Engineering & AI Enablement - SVP

The Markets Technology XVA group is seeking a visionary, hands-on, and battle-tested Senior Vice President (SVP) – Senior Technology Lead & AI Enablement
.

In this critical leadership role, you will define and execute the target-state architectural vision for Citi’s cross-asset X-Value Adjustment (XVA) valuation, risk, and stress testing platforms (encompassing CVA, DVA, FVA, MVA, and KVA). You will spearhead the modernization of mission-critical pricing and risk calculation pipelines using high-performance distributed systems, modern cloud infrastructure (AWS/GCP/Open Shift), microservices, and cutting-edge AI/LLM-enabled software engineering
.

As an engineering and technology leader, you will bridge the gap between high-throughput quantitative computing and modern enterprise application architecture. You will pioneer the integration of Agentic AI workflows, Multi-Agent systems, and MLOps
, transforming developer productivity across the SDLC and accelerating legacy system modernization into next-generation real-time valuation frameworks.

• Target-State Architecture: Define, champion, and drive the multi-year architecture blueprint for the global XVA platform, ensuring modularity, horizontal scalability, fault tolerance, and ultra-low latency.

• Distributed Computing & Persistence: Architect high-throughput distributed caching, messaging backbones (Apache Kafka), and robust polyglot persistence layers (MongoDB, relational, and vector stores) capable of processing massive intra-day risk simulations.

• Technical Judgment & Systems Thinking: Exercise authoritative technical judgment on framework selection, API contracts, cross-component boundaries, and cloud-native migration patterns (AWS, GCP, Red Hat Open Shift).

• Core Platform Engineering: Maintain deep hands-on fluency in Java / Spring Boot and Python
  , establishing engineering excellence standards, clean design patterns, and robust automated CI/CD pipelines.

• Agentic AI & Multi-Agent Frameworks: Architect and deploy autonomous and semi-autonomous Agentic AI systems to optimize complex pricing workflows, trade lifecycle reconciliations, and stress testing scenario generation.

• AI-Assisted SDLC & Developer Productivity: Drive enterprise-grade AI enablement across engineering pods—integrating LLM-driven coding assistants, automated test generation, semantic code search, and architecture review agents to double engineering velocity.

• Legacy Modernization with AI: Leverage Generative AI and code-reasoning models to reverse-engineer, refactor, and migrate monolithic legacy calculation engines onto modular target-state microservices.

• MLOps & Model Governance: Implement end-to-end MLOps pipelines (Docker, Kubernetes/Open Shift, MLflow) for model tracking, validation, deployment, fairness, interpretability, and strict adherence to internal model governance and ethical AI policies.

• XVA Strategy & Stress Testing Migration: Lead the delivery of cross-asset XVA technology programs, managing the end-to-end migration of CVA/XVA stress testing engines to the target valuation framework.

• Quant & Desk Partnership: Act as the primary technical partner to Quantitative Analysts (Quants), Financial Engineers, Trading Desks, and Risk Officers, translating mathematical models (SIMM, VaR, Greeks, Monte Carlo simulations) into scalable, production-grade enterprise software.

• Agile Program Governance: Lead cross-functional engineering pods using scaled Agile methodologies; manage technical debt, project milestones, production release planning, and resource allocation across geographically dispersed teams.