Senior Java/Kotlin Engineer - Equity Derivatives Tech - VP

The Team

Citi’s Equities Derivatives Technology department is investing in front-office development to support the Derivatives Flow, Delta One, and Exotics desks. We are looking for a hands-on Senior Developer to build applications to help desks manage critical market data used for their derivatives products pricing and trading.

This is a key position within a transformational agenda to modernize our technology stack and participate in containers migration, utilizing functional JVM-based micro-services. This is an excellent opportunity for you to define yourself as one of the core contributors to the Equities investment strategy and set yourself up for a fruitful and successful career at Citi. You will also have the opportunity to work with advanced AI tools and platforms to enhance efficiency and accelerate development tasks.

Role Overview

• Provide technical leadership to an Agile/AI powered development team, mentoring developers and establishing best practices for coding, testing, CI/CD, AI usage.
• Partner with tech teams, traders and quants to deliver production-grade applications and services.
• Drive a culture of quality and continuous improvement in SDLC and DevOps, using metrics to boost efficiency.
• Translate complex business requirements into detailed technical specifications.
• Proactively identify, mitigate, and solve complex risks throughout the software development lifecycle.
• Improve system performance, scalability, reliability, observability.

Skills Required

• Strong software engineering experience in Java/Kotlin, building enterprise-grade, cloud-hosted systems.
• Proven experience working directly with end users or ideally trading desks to deliver mission-critical capabilities from concept through production.
• Extensive experience in backend development, preferably in a financial services environment, with a strong background in software application design, development, and implementation.
• Practical experience with Agentic AI development tools and patterns.
• Proven experience building and deploying applications on Cloud platforms.
• Demonstrable understanding of concurrent and distributed design patterns and system architecture.
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex technical issues.
• Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences.
• Degree in Engineering, Computer Science, Mathematics, Physics, or a related quantitative discipline.
• Advantageous Skills: Proficiency in Python, Messaging Technologies (e.g., Kafka, Solace, TIBCO), and Observability Technologies (e.g., OpenTelemetry, Elastic Stack / ELK, Grafana), experience with Multi-threading and Parallel task programming, experience with Domain-Driven Design (DDD) architecture. Good understanding of derivatives pricing and risk management, preferably within equities markets.

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred
• Ideally in a quantitative domain, such as Engineering, Computer Science, Mathematics o Physics.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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