Senior Engineer, Systematic Data

London Source: WhatJobs

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Overview

In this role you will design, implement, and maintain high-performance data systems and APIs for a growing systematic trading business. You’ll onboard and profile new datasets, ensuring data quality and availability for research and trading. You’ll collaborate with alpha research teams and drive scalable, reliable data infrastructure that accelerates discovery and reduces time to market. This is a hands-on, cross-functional role with significant impact on platform performance and research workflows.

Responsibilities

Design, implement, and maintain high-performance data acquisition, storage, and retrieval systems and APIs (including real-time data)
Ensure data quality, history, and availability for ongoing use
On-board and profile new datasets for the platform in collaboration with research teams
Support systematic alpha research projects and accelerate data/alpha discovery
Coordinate across multiple projects and stakeholders to maintain schedule and quality
Improve platform stability, scale, and integration with research processes

Key requirements

Degree in Computer Science or related field with computational focus
7+ years hands-on development experience building and supporting production systems
Python proficiency with OO and functional styles and strong design patterns
Strong understanding of system architecture and full technology stack
Experience with collaborative software development practices (version control, CI/CD, automated testing, code reviews)
Craftsman-like approach to writing clean, efficient code
Knowledge of one or more databases (Postgres/MSSQL, Redshift/Snowflake, KDB/OneTick)
Solid understanding of time-series data and temporal queries
Linux platforms and scripting
Understanding of financial markets and instruments (cash equities)
Experience in a front-office trading environment (systematic/quantitative)