Data Support Engineer

Stanford Black Limited; Greater London; On-site; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Free breakfast and lunch

13% pension

Year-one guaranteed bonus

Private health

Job summary

Stanford Black Limited in London is seeking a Data Support Engineer to bridge data, technology and research. You will support Quant researchers and traders, navigate data platforms, resolve issues, and improve tooling and documentation.

This role emphasizes strong Python usage, data quality, and collaboration with Data Engineering to maintain critical datasets across the firm's data estate.

Qualifications

• Experience in Data Support or similar technical user-facing role.
• Strong Python skills with data libraries.
• Understanding of data systems, pipelines and APIs.
• Experience supporting researchers, quants or traders.
• Financial services or systematic trading experience.
• Familiarity with data quality and backfills.

Responsibilities

• Act as first point of contact for researchers and traders needing data access and tooling.
• Investigate data issues and coordinate with Data Engineers to drive resolution.
• Support users across data platforms, pipelines and APIs.
• Onboard new researchers, helping them understand available datasets.
• Manage requests through JIRA and track resolutions.
• Develop documentation for datasets, tooling and processes.
• Contribute to expanding data coverage with live data and backfills.
• Use Python to investigate issues and improve support workflows.
• Identify recurring problems and contribute to long-term improvements.

Skills

Python

Data analysis

Data workflows

Jira

Communication

Problem solving

Tools

JIRA

Data tooling

APIs

Job description

Data Support Engineer – Systematic Trading Firm | London

A leading systematic trading firm is seeking a Data Support Engineer to join a highly technical data function supporting Quantitative Researchers and Traders across the business. This is a user-facing role sitting at the intersection of data, technology and research, offering the opportunity to work directly with sophisticated datasets and the teams that rely on them every day. You'll help users navigate data platforms, investigate data issues, improve documentation and tooling, and work closely with Data Engineering teams to maintain the quality and availability of critical datasets.

The role also offers exposure to the underlying data estate itself and strong Python usage. Ideal for a support candidate who is eager to specialise within the data domain and scale their engineering skillset.

The Role

• Act as a first point of contact for Quantitative Researchers and Traders requiring support with data access, tooling and usage
• Investigate data issues, identifying the underlying cause and working with Data Engineers to drive resolution
• Support users across data platforms, pipelines, APIs and associated tooling
• Assist with the onboarding of new researchers and hires, helping them understand available datasets and efficient ways of working with data
• Manage support requests through JIRA, ensuring issues are tracked, prioritised and resolved effectively
• Develop and maintain clear documentation covering datasets, tooling, processes and common issues
• Contribute to extending data coverage through live data collection and historical backfills
• Use Python and data-focused tooling to investigate issues and improve support workflows
• Identify recurring problems and contribute to longer-term improvements across the data environment

Requirements

• Experience within Data Support, Data Operations, Application Support, or similar technical user facing environments
• Strong Python skills and experience using data libraries
• Understanding of data systems, pipelines, APIs and data workflows
• Strong analytical and problem-solving ability with excellent attention to detail
• Comfortable working directly with technical users and communicating clearly with both users and engineers
• Experience with JIRA or similar ticketing / workflow management platforms
• Genuine interest in working with data within a quantitative or financial environment
• Experience supporting researchers, quants, traders or other technical users
• Financial services or systematic trading experience
• Familiarity with market or alternative datasets
• Exposure to data quality, data onboarding, collection or backfill processes

Company Highlights

• Technology-led culture – drives both trading and internal engineering investment
• Significant growth across compute, storage, and networking platforms creating a strong pipeline of upcoming projects
• Opportunity to work closely with Quantitative Researchers and Traders on data that directly supports the investment process
• c.2,000 employees – large enough for scale, small enough for meaningful individual impact
• Brand-new London HQ – core engineering and trading hub with free on-site gym
• Flat organisational structure – offers meaningful ownership and direct exposure to senior technical leadership
• Highly collaborative culture with close interaction between functions facilitated by the lack of barriers between teams
• Excellent Glassdoor ratings consistently quoting a strong work-life balance
• Strong focus on innovation, automation, and engineering excellence

Strong Benefits:

Free breakfast & lunch, 13% pension, year-one guaranteed bonus, allowance of work abroad days, private health, relocation packages, and more.