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

Strategic Architecture & Technical Leadership

AI Enablement, Agentic Workflows & Legacy Modernization

Program Execution & Quantitative Collaboration

Risk, Controls & Regulatory Governance

Leadership & Experience

Core Software Engineering & Architecture

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Automated Processing and AI

Qualifications

• 4+ years in a senior leadership or lead architect capacity guiding high-performing, geographically distributed engineering teams.

Responsibilities

• 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 OpenShift).
• 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/OpenShift, 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.
• Regulatory Compliance: Ensure all technology solutions comply with Basel III/IV, FRTB, Dodd-Frank, and global regulatory standards governing market risk and counterparty valuation.
• Governance & Resiliency: Uphold the highest standards of data integrity, cybersecurity, audit readiness, disaster recovery (HA/DR), and operational resiliency across tier-1 production systems.
• Ethical Judgment: Appropriately assess risk in technical and business decisions, safeguarding the firm's reputation and client assets.
• Required Qualifications & Technical Competencies
• 10+ years of progressive software engineering, distributed systems architecture, and technical leadership experience within institutional financial services, tier-1 investment banks, hedge funds, or high-scale technology firms.
• 4+ years in a senior leadership or lead architect capacity guiding high-performing, geographically distributed engineering teams.
• Proven track record of successfully delivering large-scale, enterprise-level digital transformations and legacy-to-cloud modernization programs.
• Expertise in Dual-Stack Engineering: Deep expertise in Java (Spring Boot / Core Java / Concurrency) and Python (AsyncIO, NumPy, Pandas).
• Distributed Systems: Proven mastery in designing event-driven architectures, distributed data fabrics, caching systems (e.g., Hazelcast, Redis, Apache Ignite), and message streaming via Apache Kafka.
• Technology
• Applications Development
• Full time
• Jersey City New Jersey United States
• $176,720.00 - $265,080.00
• In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
• Please see the requirements listed above.
• For complementary skills, please see above and/or contact the recruiter.
• Oct 14, 2026
• We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
• Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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