TD Securities (2016–Present)

TD Securities (2016–Present)#

Progressive technical and leadership roles delivering modern data platforms, analytics, and cloud capabilities within a top global investment bank. Combines deep technical expertise with strategic vision to build scalable, trusted data systems that accelerate business outcomes. Recognized with top-tier awards for transformational contributions.

Director, Data Platform & Analytics#

Scope

I lead a 30+ person organization spanning four teams: Market Data Masters, Reference Data Masters, Data Quality & Governance, and Data Science Engineering. Together, we own dealer-wide data platforms supporting trading, risk, compliance, and analytics, combining strategy, execution, and governance to deliver trusted, scalable data products across TD Securities.

Leadership focus: building platforms that empower teams to move fast safely, using guardrails instead of gatekeepers.

Impact & Outcomes#

  • Defined and executed a multi-year data platform roadmap aligned with trading, risk, and finance priorities.

  • Modernized market and reference data platforms into trusted, product-oriented “golden sources” used across onboarding, risk, and reporting.

  • Shifted the organization from reactive data remediation to proactive data quality and observability.

  • Scaled analytics and ML enablement platforms to broad enterprise adoption.

Signature Wins

  • Led dealer-wide cloud migration and data fabric adoption, reducing legacy risk exposure and enabling ~50% faster time-to-market for analytics products.

  • Established trusted market and reference data masters as golden sources, eliminating manual remediation and improving reliability for key processes across onboarding, risk, and reporting by 10x.

  • Implemented near-real-time data quality monitoring and governance, cutting recurring “data fires” by ~80% and strengthening regulatory audit readiness.

  • Scaled Jupyter-based analytics and ML platforms to 1,000+ users, reducing experimentation cycles from weeks to days (10–25× improvement).

  • Secured C-suite sponsorship for a multi-year platform roadmap, aligning trading, risk, and finance priorities and driving ~$15M in operational efficiencies through automation.

Vice President, Data Science Engineering

Led the build-out of enterprise analytics and data science engineering capabilities, bridging quantitative teams and core technology to accelerate analytics delivery in a regulated environment.

Scope & Leadership

  • Built and led a high-performing engineering team delivering Python infrastructure, notebooks-as-code, and analytics tooling.

  • Served as primary liaison between quantitative teams, IT security, and business stakeholders.

  • Enabled analytics delivery 10–25× faster than traditional technology processes.

  • Grew platform adoption organically to 1,000+ users across technology, business, operations, and support.

Platform & Technical Execution

  • Scaled JupyterHub deployments through Dask-on-YARN and Spark-on-YARN integrations.

  • Architected enterprise-grade identity provider integration for JupyterHub using OAuth 2.0, improving security posture while reducing authentication-related development overhead.

  • Pioneered an EUC governance framework that balanced self-service analytics with operational risk controls.

Software Engineer Technical Lead

Scope & Technical Leadership

  • Led development of core Python libraries to provide a common interface for common data operations agnostic to the data sources (SQL, Spark, REST API) to kickstart development workflows, particularly for citizen developers

  • Designed scheduling platform for recurring jobs, becoming critical infrastructure for prototyping and EUC processes

  • Created self-service deployment system for analytical applications that empowered business teams across front, middle, and back office to productionize dashboards without engineering support

Platform Impact

  • Architected TD Securities’ first centralized JupyterHub+ platform (serving [400+] users), reducing prototyping time by 70%.

  • Mentored junior engineers through code reviews and best-practice workshops (adopted org-wide).

Recognition#

  • TDS Pinnacle Award of Achievement (Top 0.1% performance).

  • TD Vision In Action Award (1-in-1000 enterprise-wide recognition).

Earlier Roles#

Software Engineer: Designed early architecture and launch of the TDS Notebooks Platform; spoke at PyCon CA (talk link).

Quantitative Developer: Implemented derivatives pricing models, Python integrations for C++ libs, founded “Knowledge Academy” learning series (GitHub).

Contents