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 ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above. ------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
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