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GTS

Quantitative trading with AI market making

Engineering Manager - Data Systems

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Proven experience managing software engineering teams, including hiring, mentoring, performance management, and capacity planning.
  • A strong software development background sufficient to guide architecture and engineering decisions.
  • Experience in financial services, trading, capital markets, or a related environment.
  • Strong proficiency with Jira, including managing multiple concurrent projects, sprint planning, estimation, and dependency tracking.
  • Experience leading distributed teams across multiple time zones.
  • A solid understanding of distributed systems, data pipelines, APIs, and software design principles.
  • Familiarity with Python, Kafka, SQL, Airflow, and REST APIs.
  • The ability to manage competing priorities, resolve conflicts, and deliver projects on schedule.

Responsibilities

  • Lead, mentor, and develop engineers across North America, South America, and Europe.
  • Manage hiring, performance, capacity planning, resource allocation, and professional development.
  • Foster a collaborative, high-performing team focused on quality, accountability, and continuous improvement.
  • Oversee multiple concurrent engineering projects, ensuring predictable, high-quality delivery.
  • Drive sprint planning, estimation, prioritization, dependency tracking, and delivery reporting using Jira.
  • Maintain project roadmaps, manage competing priorities, and proactively address delivery risks.
  • Communicate progress, timelines, and challenges to technical and business stakeholders.
  • Guide the design and development of scalable, reliable data systems using Python, Kafka, SQL, Airflow, and REST APIs.
  • Participate in architecture reviews, technical discussions, and targeted code reviews.
  • Partner with trading desks, operations, finance, and compliance to gather requirements and translate business needs into technical solutions.
  • Lead demonstrations, gather feedback, and drive adoption of new systems.
  • Promote engineering best practices, system reliability, and continuous improvement.
  • Build and develop a strong engineering team, establish predictable delivery processes, and ensure reliable, well-designed technical solutions meet evolving business needs.

Desired Qualifications

  • Experience with electronic trading, market data, or investment management systems.
  • Familiarity with real-time data processing, reconciliations, and operational reporting.
  • Experience supporting high-availability, mission-critical production environments.
  • Experience scaling engineering teams, modernizing systems, or improving delivery processes in growing organizations.

About the Company

GTS

Quantitative trading with AI market making

GTS is a group of financial services firms that use market expertise and proprietary technology to provide liquidity across many asset classes. Its core activity is electronic market making through GTS Securities, which quotes and trades to supply liquidity in U.S. cash equities and other markets. The way it works is by applying AI systems and advanced pricing models to automate and optimize trading decisions, enabling faster, more consistent pricing and execution, with a focus on transparency in markets. The company differentiates itself through its quantitative trading heritage, the integration of machine learning and sophisticated pricing tools, and its large presence as a designated market maker at the NYSE, handling a substantial share of trading volume. The goal is to improve market efficiency, reduce trading frictions, and expand the reach of its liquidity and investment capabilities across asset classes.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2006

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