KDB / Q Developer

KDB, Machine Learning, Reference Data, Fixed Income, Market Making

A premier electronic trading firm is looking for a KDB Engineer to take ownership of their reference data architecture.

This isn't maintenance work : they want someone to fundamentally redesign how they handle master data across a massive securities platform. You'd be optimizing time-series queries at scale, building reconciliation logic for multiple vendor feeds, and establishing the technical standards for their data platform going forward.

What makes this compelling : direct collaboration with their core dev team (not siloed in a data team), genuine architectural influence, and exposure to low-latency trading systems once you've made your mark on the infrastructure layer.

Applicants must be able to work in New York City 3 days per week minimum. The client can sponsor visa's for applicants already based in the USA.

Required skills :

• 2-12 years of experience as a KDB, KDB / Q or KDB+ Engineer. We are not looking for people with KDB as a secondary skill : you will be using it as your main focus
• Financial Services experience. We are open to banks, hedge funds, prop trading, market making or asset management backgrounds
• Good knowledge and experience working with timeseries data in a latency-sensitive environment
• Proven ability to take ownership of projects and interface with front office stakeholders

Nice to have :

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.