Application Development Lead (Fixed Income Data) - Vice President

• 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

• 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

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