Application Development Lead; Fixed Income Data - Vice President

Position: Application Development Lead (Fixed Income Data) - Vice President
Summary
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.

Job purpose
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.

Key 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.

Knowledge/Experience
Technical

Skills:

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…