Market Data Engineer

We are looking for a strong candidate with financial markets technology experience and realtime market data expertise to globally support our intraday market data plant with both latency sensitive and non-latency sensitive components.

The successful candidate will be comfortable spanning monitoring, support, development, and client management duties with goals of ensuring stability of the existing environment whilst also driving platform improvements through engineering of automated operational solutions.

Experience in market data with a focus on vendor and direct feeds is a requirement. The candidate must be comfortable speaking directly with portfolio managers, traders, management, IT groups and external parties.

Job Description Summary

Ensure the stable operation of the market data platform for all Millennium stakeholders, including investment teams and core technology functions. Drive the design and engineering of automated solutions to improve operational capabilities within the strategic roadmap for the platform.

Principal Responsibilities

• Support and management of both enterprise and latency sensitive realtime market data environments, including management of internal, vendor, and exchange-initiated changes.
• Design and engineering of components to automate support and management capabilities for the market data platform, including monitoring, realtime and historic metrics collection/visualization, and administrative functions including self-service user facing tools.
• Liaison with users of the market data environment, including Portfolio Managers, trading desks, and core technology teams.
• Enhancement of processes and workflows related to operation of the market data platform, such as release deployment, incident management and remediation, exchange notification handling.
• Promotion of a close partnership with application and infrastructure support teams including the definition of clear support runbooks and high-quality platform documentation.
  
  

• Technical experience supporting market data environments within a global organization, including both internally developed DMA feed handlers and vendor distribution infrastructure (e.g. Refinitiv, Bloomberg)
• Strong understanding of market data concepts and functionality, such as data models (fields/messages), protocols (e.g. snapshot + delta), order book representations (e.g. L1/L2/L3), recovery and reliability.
• Hands on Site Reliability Engineering or DevOps skills, including system administration, automation, measurement, release / deployment management, component design, scripting and coding.
• Experience of monitoring, metrics and command/control functionality for distributed market data platforms; ability to evaluate existing solutions and drive enhancements through coordination of development and operations teams.
• Ability to prioritize in a fast moving, high pressure, constantly changing environment.
• Demonstrate thoroughness and strong ownership of work through a detail-oriented approach.
• Effective communication and relationship management skills (client and vendor): The candidate will be expected to work closely with business and technology users to understand their current and future needs.
  
  

• Interest and experience in software development (preferably C++/Python)
• Working knowledge of at least one cloud platform (AWS, GCP, or Azure)
• Solid understanding of modern OS concepts and internals of Linux
• Solid understanding of network engineering (TCP/IP protocol understanding with MCAST distribution systems is a must-have)
• Experience of open source or commercial messaging middleware technologies