Fixed Income Data Acquisition & Warehouse Lead, SVP
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Key skills for this role
About the Role
Citi is seeking a Fixed Income Data Engineering Lead (SVP) to own the data strategy for multi-billion dollar trading businesses. The role involves leading engineering teams, defining data architecture, and driving AI adoption.
Key Skills for This Role
Responsibilities
- Define and drive the data warehousing and processing strategy for Fixed Income trading, including architecture of data APIs and data product design
- Lead multiple teams of software engineers across Canada and Pune, setting engineering standards and guiding adoption of agentic AI coding tools
- Serve as site lead for the Fixed Income data team in Mississauga, acting as local escalation point and shaping team culture
- Own a complex, multi stakeholder project portfolio spanning two major Fixed Income business lines, technology partners, and risk and control functions
- Engage and influence senior leaders across business, technology, and risk functions to align data strategy with trading and operational priorities
- Evaluate and maintain the health of the existing codebase to ensure systems are scalable, maintainable, and fit for purpose
- Accelerate the team's adoption of AI driven development practices and establish best practices for agentic tooling
Requirements
- 10 or more years of hands on experience in software or data engineering, with depth in data pipelines, data modeling, and analytical systems
- Demonstrated experience managing engineering teams, including global or distributed team structures across multiple time zones
- Background in Fixed Income or broader capital markets, with working knowledge of how trading, risk, and P&L data flows support front office functions
- Hands on technical foundation in Python, SQL, or Java, with the ability to engage directly with codebases and architectural decisions
- Track record of managing complex, multi stakeholder programs with senior business and technology partners
- Clear and concise communicator, able to engage credibly with senior stakeholders across business and technology functions
- Bachelor's degree/University degree or equivalent experience
Full Job Posting
Job Overview
- Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions.
- Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services.
- Our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company.
Position Overview
- Citi is seeking a Fixed Income Data Engineering Lead to own the end to end data strategy powering two multi billion dollar Fixed Income trading businesses.
- Based in Mississauga and serving as site lead for the Fixed Income data team in Canada, this is a senior leadership role shaping how data products, pipelines, and AI enabled tooling are designed, built, and evolved across global teams.
- The Fixed Income data acquisition & warehouse lead is responsible for all Fixed Income trading related analytical and reference data flows both to applications and end users including for AI applications and agents.
- The candidate will manage a majorly Canada based team with some contributors in Pune as well to cover APAC hours and also act as site lead for the Fixed Income data team in Mississauga.
Responsibilities
- Define and drive the data warehousing and processing strategy for Fixed Income trading, including the architecture of data APIs and data product design that serves both business and AI applications.
- Lead multiple teams of software engineers across Canada and Pune, setting engineering standards, coaching technical practices, and guiding the adoption of agentic AI coding tools and automation.
- Serve as site lead for the Fixed Income data team in Mississauga, acting as the local escalation point and actively shaping team culture and effectiveness.
- Own a complex, multi stakeholder project portfolio spanning two major Fixed Income business lines, technology partners, and risk and control functions.
- Engage and influence senior leaders across business, technology, and risk functions to align data strategy with trading and operational priorities.
- Evaluate and maintain the health of the existing codebase — conducting technical deep dives where needed — to ensure systems are scalable, maintainable, and fit for purpose.
- Accelerate the team's adoption of AI driven development practices, establishing best practices for agentic tooling and ensuring engineering processes evolve at pace with the industry.
Required Qualifications & Skills
- 10 or more years of hands on experience in software or data engineering, with depth in data pipelines, data modeling, and analytical systems.
- Demonstrated experience managing engineering teams, including global or distributed team structures across multiple time zones.
- Background in Fixed Income or broader capital markets, with working knowledge of how trading, risk, and P&L data flows support front office functions.
- Hands on technical foundation in Python, SQL, or Java, with the ability to engage directly with codebases and architectural decisions rather than solely managing at a distance.
- Track record of managing complex, multi stakeholder programs with senior business and technology partners.
- Clear and concise communicator, able to engage credibly with senior stakeholders across business and technology functions.
- Bachelor’s degree/University degree or equivalent experience.
Beneficial Skills & Qualifications
- Master's degree in a relevant technical or quantitative discipline.
- Experience designing or managing data products, including API based data delivery to both human users and application consumers.
- Familiarity with agentic AI tools and an established view on how to integrate them responsibly into software development workflows.
- Experience serving in a site or regional leadership capacity, including ownership of local team operations and culture.
What We Offer
- Strategic leadership scope across two multi billion dollar Fixed Income businesses, with direct influence over data architecture and engineering direction.
- Hybrid working model with 3 days in the office and 2 days working remotely, offering structure and flexibility.
- Site lead accountability in Mississauga, giving you a platform to shape local team culture and professional development beyond your direct reports.
- A role at the forefront of AI adoption in financial services, with the mandate to define and implement best practices for agentic development tooling across your teams.
- Access to global collaboration across technology, trading, and risk functions, connecting you to peers and partners across Citi's international network.
- Competitive compensation and benefits package reflective of Senior Vice President seniority, including financial wellbeing and long term value programs.
- A performance driven environment that rewards technical depth and leadership in equal measure, with room to grow in scope as the data platform evolves.
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