Team Lead (Equities Transactional Systems)
Millennium is looking for an exceptional individual to join the Equities Transactional Systems Core Technology Team. This team is responsible for the firm’s equity transaction data platform, including trade lifecycle event processing, enrichment, and PnL calculations. The role is ideal for a hands-on Sr. Engineer with prior team lead experience who enjoys building robust, high-throughput services and data pipelines in a fast-paced, delivery-focused environment.
Principal Responsibilities
* Build and manage a team of highlighted competent and driven software engineers in Python & Angular technologies
* Design and develop solutions for trade lifecycle event processing, including corporate actions, expiries, and other post-trade events.
* Build and operate Python-based services that perform large-scale data transformations and calculations.
* Publish and distribute transaction and PnL data using Kafka, including AVRO-based schemas and streaming patterns.
* Identify, design, and implement internal process improvements: Automation of manual processes, Optimizing data pipelines, and re-designing infrastructure for scalability and resiliency.
* Deliver software in an agile fashion using modern engineering practices: comprehensive automated testing, code review, version control, CI/CD, and scheduling/orchestration patterns, using AI models.
* Provide level three production support for the applications and processes within the team’s time zone.
* Collaborate with peer Core Tech and MO/Ops team to define the path forward for strategic solutions
Required Skills
* Minimum of 10+ years of professional Python development experience in capital markets or a fintech firm.
* Minimum 3 years leading high performing development teams.
* Demonstrable experience in delivering solutions for equities, including corporate action processing, trade lifecycle, and P&L calculations
* Delivery-oriented: Understands the importance of shipping enhancements iteratively in an agile way.
* Detail-oriented with strong ownership and a focus on accuracy and reliability.
* Experience of using AI-assisted development tools to improve developer productivity and continuous adaption and skills
* Experience with Kafka (or equivalent streaming/messaging platforms) and schema-based event publishing (e.g., AVRO).
* Experience performing large-scale data calculations in Python using libraries like pandas, polars, and NumPy.
* Experience building REST services using frameworks such as FastAPI and/or Flask.
* Strong SQL skills and experience working with relational databases in production environments.
* Understanding of modern SDLC practices (testing strategy, CI/CD, release management, observability, and operational ownership).
* Strong communication and interpersonal skills with a desire to work in a collaborative environment.
Preferred Skills
* Hands-on experience with containerized deployments and modern infrastructure tooling (Docker, Kubernetes) and familiarity with cloud platforms.
* Hands-on UI development, including but not limited to Angular, Typescript, Ag-grid.
* Bachelor’s degree in computer science or another quantitative field from Tier 1 colleges.
