Quant Developer in AI

London. Posted a month ago

The role

You will design, build, deploy, and own data systems processing petabytes of data. You will build robust distributed systems and design performant protocols and APIs for the Foundations team.

What you will do

Design, build, deploy and own data systems processing petabytes of data
Build robust distributed systems and reason about how they fail and behave under load
Design performant protocols and APIs
Tackle complex domains and immense scale with correct and pragmatic solutions
Build as part of a high-performing team and contribute knowledge to others

Required qualifications

1-5+ years building and operating serious institutional-scale systems
Fluency in Python or Typescript
Deep understanding of at least one of Rust, C++, Java or Golang
Solid core CS knowledge in data structures and algorithms
Solid core CS knowledge in distributed systems concepts (databases, replication, partitioning, queuing, caching)
Experience owning services in production and improving quality through code reviews, testing, rollout and monitoring

Nice to have

Experience at a trading firm, market maker, hedge fund or exchange
Experience with trading systems, market data pipelines, tick or time-series stores, risk engines, ML/QR research pipelines
Experience with large data migrations or re-architecture projects

Benefits

Competitive salary, commission, and meaningful equity
Clear, accelerated growth opportunities
Strong in-person culture: 4 days/week
Daily team lunches & dinners
Annual learning & development budget
Comprehensive health, dental, and vision coverage
US employees: 18 paid vacation days plus US public holidays
UK employees: 25 paid vacation days plus UK public holidays
Frequent travel opportunities across the U.S., London, and Europe
Bi-annual company offsites & monthly socials

About the company

Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ of the world's leading AI teams. They are a team of founders, scientists, quants, researchers, and former Olympians.