Job Description

Our partner is a premier technology-centered quantitative and systematic investment manager with a global footprint. They integrate sophisticated expertise in data science, quantitative research, and automated trading to produce superior market returns. This position provides a high-energy, rapid-growth setting with significant paths for professional advancement.

We are seeking a versatile software specialist to join the core development unit. Your primary responsibility will involve overseeing the vast and diverse datasets that power the firm’s research and execution engines. Beyond data management, you will assist in architecting and deploying the data warehouse and its associated APIs, supervising ingestion pipelines and data integrity, and providing technical support to the Quants and Traders utilizing the infrastructure.

As 2026 marks a period of significant expansion for the organization, this is a prime opportunity for impactful contributors to join.

Requirements

A minimum of 2 years of professional experience in a comparable technical role.
Advanced proficiency in Python is essential; Familiarity with C# is considered an advantage.
Exceptional communication abilities, specifically in translating trader and researcher needs into technical specifications.
Deep expertise in managing both structured and unstructured data formats.
Ability to operate independently while collaborating with a decentralized international team.
Previous exposure to financial market data is strongly preferred.

Benefits

A chance to work in a cooperative and inventive setting where individual contributions are highly prioritized.
An attractive base salary coupled with a comprehensive benefits package.
Extensive support for both technical and personal career evolution.
A low-pressure, casual office environment that promotes a sustainable work-life balance.

Job Data Table

Category	Details
Company Name	Leading Systematic Quant Fund (via Oxford Knight)
Location	London, United Kingdom
Locality	London (City/West End)
Country	United Kingdom
City	London
Region	Europe
Job Type	Full-time
Salaries	Competitive (Industry Leading)
Experience Level	2+ Years
Travel	Minimal
Language	English
Benefits	Generous benefits, professional development, casual culture

Skills & Competency Table

Key Skill	Level
Python Development	Expert
Data Management (Structured/Unstructured)	Expert
API Design & Implementation	Advanced
Market Data Infrastructure	Advanced
C# Programming	Intermediate
System Monitoring & Data Health	Advanced

Salaries Pay Calculator Table

Annual Salary (Base)	Bonus (Est. 30-60%)	Total Compensation	Notes
£90,000	£30,000	£120,000	Entry-point for London-based Quant Data Engineers.
£115,000	£60,000	£175,000	Median for candidates with strong Market Data experience.
£140,000	£85,000+	£225,000+	Upper-tier for polyglots with high-scale API design skills.

Job Summary

This London-based role involves managing extensive datasets for a global systematic hedge fund. Using Python (and optionally C#), you will design data stores and APIs, monitor data health, and support Quants. Requires 2+ years of experience and expertise in structured/unstructured data management within a fast-paced, tech-driven trading environment.

5 FAQs

What is the primary tech stack? The role focuses on Python for data management and API development, with C# as a secondary “plus” language.
Who are the primary internal users? You will directly support Quantitative Researchers and Traders who utilize the research platform.
Is market data experience required? It is not strictly mandatory, but it is highly desirable given the nature of the fund’s operations.
What kind of data will I handle? You will manage both structured and unstructured datasets used for research and live trading.
What is the company culture like? The firm maintains a relaxed, casual culture that emphasizes work-life balance and creative collaboration.

Expert Analysis

In 2026, the bottleneck for systematic funds is no longer just “computing power” but “Data Cleanliness.” As a Data Integration Specialist, your value lies in automating the detection of “data drift” and ensuring low-latency API access. Mastery of Unstructured Data (alternative data) is currently the highest-demand skill in the London hedge fund space.

Location & Logistics Guide

Based in London, the position is located in the world’s leading hub for quantitative finance. Whether in the City or Mayfair, the role offers proximity to major data vendors and exchange infrastructure. Excellent transport links, including the Elizabeth Line, facilitate a smooth commute for the hybrid or on-site schedules. Wikipedia URL:https://en.wikipedia.org/wiki/London

Career Path

A Data Integration Specialist can progress to Senior Data Architect , Head of Data Engineering , or transition into a Quantitative Developer role. With the firm’s 2026 growth trajectory, early hires are well-positioned for leadership roles as the data infrastructure team scales to handle increasingly complex alternative datasets.

To apply for this job please visit uk.linkedin.com.