Apps Dev Tech Lead Analyst

Apps Development Senior Manager

Trade Manager Zone Platform | Cash Securities Settlements | Equity Growth Initiative

We are seeking a visionary and hands‑on Apps Development Senior Manager to lead engineering delivery for the Trade Manager Zone (TMZ) platform within the Cash Securities Settlements group, supporting the Equity Growth Initiative. This is a core engineering leadership role at the heart of a high‑impact, high‑throughput financial platform that processes equity trade settlements  will lead high‑performing engineering teams responsible for building, maintaining, and evolving mission‑critical settlement systems—driving architectural excellence, modern delivery practices, and technical transformation.

Critically, you will play a defining role in embedding Artificial Intelligence and Machine Learning into the platform— from AI‑assisted development and intelligent automation to predictive analytics and GenAI‑powered operational tooling—accelerating delivery, elevating code quality, and future‑proofing our engineering culture. This role demands deep technical expertise, strong ownership, and the ability to lead through complexity in a regulated, fast‑paced financial environment.

• Software Development & System Design
• Architect, design, develop, and maintain robust, scalable, and high‑performance applications supporting equity trade settlement workflows on the Trade Manager Zone platform.
• Lead the design of distributed, fault‑tolerant, real‑time systems capable of handling high‑volume, low‑latency trade processing across global markets.
• Champion the use of AI‑assisted coding tools (e.g., Git Hub Copilot or equivalent GenAI tools) to accelerate developer productivity, reduce toil, and improve code quality.
• Drive adoption of trunk‑based development practices to enable continuous integration and rapid, safe delivery.
• Ensure code is clean, maintainable, and testable — adhering to SOLID principles, design patterns, and platform engineering standards.
• Actively contribute to hands‑on coding, code reviews, and refactoring to maintain high engineering standards across the team.
• Own the technical design of key platform components, producing clear architecture documentation and decision records.
• Engineering Excellence & AI‑Driven Quality
• Champion Test‑Driven Development (TDD), Behavior‑Driven Development (BDD), and high unit test coverage as non‑negotiable engineering standards.
• Introduce AI‑powered code review tooling to complement human reviews — catching security vulnerabilities, anti‑patterns, and performance issues at scale.
• Apply predictive quality analytics to identify high‑risk code changes before they reach production.
• Drive the adoption of automated testing frameworks across unit, integration, regression, and end‑to‑end test layers, including AI‑assisted test generation.
• Implement and enforce secure coding practices, augmented by AI‑driven vulnerability scanning, performing assessments and ensuring compliance with financial industry security and regulatory standards.
• Advocate for infrastructure as code, continuous monitoring, and AI‑assisted observability (e.g., anomaly detection, intelligent alerting, root cause analysis) to enhance platform reliability.
• Embed CI/CD pipelines and Dev Ops practices deeply into the team's delivery workflow, aligned to Citi Engineering Excellence Standards.
• Drive a culture of zero‑defect engineering — proactive quality ownership from design through to production.
• Advanced AI & Data Integration
• Lead the integration of AI and ML capabilities into the Trade Manager Zone platform — including intelligent exception handling, anomaly detection, predictive settlement failure analysis, and automated reconciliation workflows.
• Leverage Large Language Models (LLMs) and GenAI APIs to embed intelligent capabilities into platform operations — such as natural language interfaces for trade operations, automated summarization of settlement exceptions, and AI‑driven decision support.
• Partner with data engineers and ML practitioners to design and operationalize AI/ML pipelines that consume real‑time trade data and deliver actionable intelligence.
• Apply advanced data…