Apps Dev Lead Credit Risk Technology - Vice President

We are seeking a highly motivated and experienced Vice President, Development Lead to join our Credit Risk Technology team. This is a hands‑on leadership role where you will be instrumental in designing, developing, and deploying robust, high-performance, and large-scale software solutions for Counter party Credit Risk Management.

You will lead a team of talented engineers, providing technical guidance, fostering innovation, and ensuring the delivery of high-quality, scalable, and resilient software. The ideal candidate is passionate about modern software development practices, proficient with contemporary tech stacks, and eager to utilize artificial intelligence to manage Citi’s exposure to financial institutions, governments, and corporates. This role offers the opportunity to make a significant impact by contributing to critical systems that provide an integrated view of trades, collateral, and market data from numerous sources.

• Technical Leadership & Hands-On Development
  • Lead by example, actively contributing to the design, architecture, and hands‑on development of critical software components for Counter party Credit Risk Management leveraging AI tools such as Devin and Co-Pilot.
  • Drive technical excellence, ensuring best practices in coding, testing, and deployment are followed for high-performance and large-scale applications.
  • Conduct code reviews, provide constructive feedback, and mentor team members in advanced development techniques.
• Team Leadership & Management
  • Supervise work of a team of software engineers.
  • Foster a collaborative, innovative, and inclusive team environment focused on tackling challenging firm-wide initiatives.
  • Allocate resources effectively to meet project deadlines and objectives related to risk management solutions.
• Strategic Planning & Innovation
  • Identify and evaluate emerging technologies, frameworks, and AI tools (including GenAI) that can enhance our credit risk management product offerings and development processes.
  • Drive the adoption of modern tech stacks (e.g., cloud-native, microservices, serverless architectures, containerization) and AI/ML capabilities into our solutions for limit monitoring, exception management, stress testing analysis, and escalation workflows.
  • Contribute to the strategic roadmap and vision for technology development within the Credit Risk Technology team.
• Architecture & Design
  • Define and enforce architectural standards and patterns for robust, scalable, and secure credit risk applications.
  • Collaborate with product management, risk officers, salespeople, and traders to translate complex business requirements into robust and scalable technical designs, providing an integrated view across diverse data sources.
• Project Delivery
  • Oversee the end-to-end delivery of software projects within the Credit Risk domain, from conception to deployment and maintenance.
  • Ensure projects are delivered on time, within scope, and to the highest quality standards, directly impacting Citi’s risk exposure management.
  • Implement and champion agile development methodologies.
• Stakeholder Communication
  • Communicate technical vision, progress, and challenges effectively to both technical and business stakeholders, including risk officers and senior management.
  • Collaborate with cross-functional teams, including product, operations, and other engineering groups, to deliver comprehensive risk solutions.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in software development, with at least 2 years in a leadership role (Lead Developer, Tech Lead).
• Strong hands‑on programming skills in Java and related technologies.
• Extensive experience with modern tech stacks and cloud platforms (e.g., AWS, Azure, GCP), including microservices, APIs, containerization (Docker, Kubernetes), and serverless computing.
• Proven experience in leveraging AI/ML tools and technologies (e.g., GenAI, machine learning frameworks, natural language processing, data science platforms) in building large-scale, high-performance applications.
• Deep understanding of software architecture patterns, data structures, and algorithms.
• Experience…