Senior Technology Lead, XVA Data Engineering & AI Enablement - SVP
Reads like a Data Leadership role: running a data team.
Jersey City, NJ, US
- Pay
$176,720–265,080/yearAnnual period assumed — pay source
## Primary Location Full Time Salary Range: $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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
## Time Type: Full time \------------------------------------------------------
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDefine the multi-year target architecture for the global XVA platform
Lead migration of CVA/XVA stress testing engines to the target framework
Modernize legacy calculation engines into microservices with Generative AI tools
Build agentic AI workflows for pricing and trade reconciliation
Implement MLOps pipelines with model governance controls
From the employer’s posting
Define, champion, and drive the multi-year architecture blueprint for the global XVA platform
managing the end-to-end migration of CVA/XVA stress testing engines to the target valuation framework
Leverage Generative AI and code-reasoning models to reverse-engineer, refactor, and migrate monolithic legacy calculation engines onto modular target-state microservices
Architect and deploy autonomous and semi-autonomous Agentic AI systems to optimize complex pricing workflows, trade lifecycle reconciliations
Implement end-to-end MLOps pipelines (Docker, Kubernetes/OpenShift, MLflow) for model tracking, validation, deployment
Tools in this posting
- Java
- Python
- AWS
- Docker
- GCP
- Kafka
- Kubernetes
- MLflow
- MongoDB
- Redis
- NumPy
- pandas
Source — Tool mentions in context
* 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. ## AI Enablement, Agentic Workflows & Legacy Modernization
## Core Software Engineering & Architecture * 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.
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/OpenShift), 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.
* 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.
* 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. ## Program Execution & Quantitative Collaboration
* 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).
* 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. \------------------------------------------------------
Posting record
Report an errorActively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 18, 2026 · 11 days ago
- Recorded sightings
- 53
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Oct 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Pay
## Primary Location Full Time Salary Range: $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.
- Location & working pattern
Jersey City, NJ, US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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