Technical Lead & Manager, Fixed Income Data Engineering - Vice President

Citi•Mississauga, ON

60d

About The Position

This role is for a application dev lead within the FI Data team, responsible for leading, mentoring, and developing a high-performing team of application developers and data engineers. The team focuses on monetizing data generated by the fixed income business and building cutting-edge tools and services that provide actionable insights with a direct impact on revenue and business strategy. The FI Data team is undergoing rapid expansion, dedicated to delivering state-of-the-art data-centric solutions. As the Dev lead for risk data reporting, you will play a pivotal role in shaping the team's technical direction, fostering a culture of innovation, and ensuring the successful delivery of strategic initiatives across sales, risk, pricing, quants, algorithmic trading, execution, trade processing, and more. You will lead and empower engineers utilizing a sophisticated data analytics stack built around big data streaming, distribution technologies, and microservices. Handling exceptionally large daily data volumes, your leadership will be critical in enabling the fixed income business to maintain a competitive advantage by generating real-time insights from these datasets. This leadership role offers a rewarding and exciting opportunity to mentor and guide a team that directly impacts one of the most forward-thinking and successful businesses on the street, solving complex business and technology problems with a direct, measurable revenue impact.

Requirements

6+ years of demonstrable and relevant experience in software development, with at least 3-5 years in a leadership role within a high-performing technical team.
Strong understanding of Python 3.6, with the ability to guide and review complex solutions.
Solid understanding of REST API development, including best practices for design, security, and scalability.
Demonstrable experience in driving the creation of reusable, testable, and efficient code with proper error and exception handling, and establishing coding standards.
Extensive experience with the design and implementation of cloud-native applications and deployment via Kubernetes / Openshift, including strategic decision-making on cloud architecture.
Expertise in big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Pinot, Trino, Ignite), and a track record of leading teams leveraging these technologies.
Hands-on experience in handling various data structures, and the ability to guide complex data modeling decisions.
Proven leadership in establishing and maturing Continuous Integration and Continuous Delivery environments.
Familiarity with TeamCity, Sonarqube, and Jenkins.
Extensive experience with the SDLC lifecycle and in leading and coaching within an Agile environment (Scrum/Kanban).
Demonstrable leadership in promoting and enforcing engineering best practices: design patterns, coding standards, rigorous code review processes, and comprehensive unit testing strategies (e.g., Mockito, Junit, Pytest).
Deep understanding of Agile software development methodologies and strong experience in driving adoption and optimization of standard CI tools (Jenkins, TeamCity, Sonarqube, git).
Exceptional leadership, communication (oral and written), and interpersonal skills, with a proven ability to motivate, inspire, and develop diverse technical teams.
Strong ability to build and nurture influential relationships with senior stakeholders, peers, and business partners across the organization.
Self-motivated, highly organized, and results-oriented, with a strong determination to achieve team goals and the ability to empower autonomous work.
Flexible and adaptable leader with a track record of successfully guiding teams to deliver high-quality results within demanding timelines.
Demonstrated experience in performance management, career development, and conflict resolution within a technical team.
Strong academic record, ideally with a Bachelors or Masters degree in Computer Science, or related technical/quantitative discipline.
Proven success in leading teams in the design and delivery of complex, multi-tiered applications.

Nice To Haves

Ideally, a foundational understanding of financial derivatives (rates or other) or a strong willingness to rapidly learn and apply knowledge in this domain.

Responsibilities

Lead and oversee the design and development of high-performance green-field data analytics products for a Tier 1 bank, ensuring architectural excellence and alignment with business goals.
Collaborate strategically with other dev leads in US and Canada, translating complex business requirements into technical roadmaps and fostering a partnership approach to deliver impactful solutions.
Drive innovation within the team, encouraging the exploration and implementation of cutting-edge data visualization and analytics solutions.
Mentor and guide team members in applying an engineering mindset, fostering deep understanding of use-cases, developing robust estimation techniques for volume and compute velocity, and openly addressing implementation limitations.
Lead the evaluation and development of Proof-of-Concepts (POCs) for new strategic initiatives, guiding the team to convert successful prototypes into robust enterprise solutions.
Foster a culture of continuous learning and growth within the team, empowering members to research, learn, and recommend emerging technologies.
Provide leadership and strategic direction for post-release support, collaborating closely with business, development, and support groups to ensure operational stability and client satisfaction.
Manage team performance, including goal setting, performance reviews, career development, and providing regular feedback to foster professional growth.
Participate in hiring processes, attracting, interviewing, and onboarding top talent to grow the team's capabilities.
Facilitate effective communication within the team and across different stakeholders, ensuring transparency and alignment.