Global Equities Technology - Developer Support (Associate)

LevelUP HCS; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

LevelUP HCS in London is seeking a Developer Support Associate to join the Global Equities Data and Analytics team. You will work on real-time and historical market data platforms, collaborating with front-office and QA teams to deliver low-latency solutions.

Responsibilities include supporting the Global Data & Analytics platform, developing regional data solutions for EMEA, and applying KDB/Q, Python, and cloud technologies to improve system design and operational efficiency.

Qualifications

• 3+ years of experience working with large financial datasets, such as market data, order and execution data, and positions data.
• 3+ years of Kdb+/Q experience and strong experience in Unix/Linux environments.
• Excellent communication and interpersonal skills, with the ability to interact effectively with developers, QA teams, and production support teams.
• Demonstrated ability to learn new technologies and business domains.
• Experience with Python (including cloud-based technologies, Apache Iceberg, and Parquet); Java is advantageous.
• Experience working within Agile development methodologies is beneficial.

Responsibilities

• Manage real-time market data within the region and develop EMEA-specific solutions and requirements.
• Support the Global Data & Analytics platform, including both real-time and historical data environments.
• Work closely with and support trading desks and quantitative teams.
• Implement functionality based on defined APIs.
• Develop and maintain reusable, library-grade software.
• Ensure clean, efficient coding practices and adherence to industry standards.
• Collaborate with developers to deliver efficient and robust solutions.
• Produce and maintain technical documentation.

Skills

Communication

Team collaboration

Learning new technologies

Problem solving

Tools

Kdb+/Q

Unix/Linux

Python

Java

Cloud platforms AWS

Apache Iceberg

Parquet

Job description

Department: Global Equities Data and Analytics

Our global Equity Technology team is building cutting-edge technology solutions spanning the full spectrum of equity products globally, including Cash, Portfolio Trading, Algo Trading, Central Risk Book, Listed and OTC Derivatives, Convertible Bonds, Equity Swaps, and ETF & Basket Trading. The platform supports multi-asset sales and trader order management, quantitative trading, real-time position and risk management, AI/ML data analytics, trade lifecycle management, and regulatory and client reporting.

The team operates globally across major financial hubs in a 24x7 follow-the-sun model. London serves as a key hub, with close collaboration across teams in New York, Hong Kong, Pune, and other major markets. You will contribute to systems that operate in real time and at global scale.

The business continues to expand into new markets and regions, creating opportunities to build technology platforms from the ground up. Technology teams work closely with front-office stakeholders to deliver solutions for mission-critical business challenges, providing strong exposure to trading workflows and opportunities to own end-to-end system components.

A broad range of technologies is used, including Python, Java, C++, C#, KDB/Q, HTML5, D3, cloud platforms, high-performance messaging systems, and in-memory databases. This role offers the opportunity to develop expertise in capital markets, low-latency engineering, and large-scale distributed systems while making a meaningful impact from day one.

Job Description

The Global Equities Data and Analytics team is seeking a London-based professional to join its global team responsible for managing, developing, and supporting the Global Equities Data and Analytics Platform. The platform provides data and analytics services to more than ten trading desks globally, including Cash Equities, Listed and OTC Derivatives, Electronic Trading, Algorithmic Trading, Index Rebalancing Strategies, ETF Trading, Delta One, Central Risk Book, and Securities Finance Trading.

The platform manages multi-asset real-time and historical market data, including equities, ETFs, indices, futures, options, and third-party vendor datasets such as Barra and MSCI. It supports day-to-day trading activities, risk management, hedging decisions, and AI-driven use cases.

The London team plays a critical role in supporting the EMEA region while providing overlap coverage with Asia and US time zones. Responsibilities include managing EMEA market data, developing regional solutions, and partnering closely with trading desks across the region.

This Developer Support Associate role offers exposure to large-scale, low-latency data platforms and extensive historical datasets. The position provides opportunities to develop expertise in KDB/Q and other technologies such as Python, cloud-based data platforms, Apache Iceberg, Parquet, and Java, while contributing to the evolution of a hybrid on-premise and cloud environment.

Candidates should have experience managing large financial datasets comprising both real-time and historical data, along with strong communication skills and the ability to work closely with developers, QA teams, and production support teams in a fast-paced environment.

The successful candidate will be expected to develop innovative analytics solutions, improve system design and architecture, and contribute across the software development lifecycle, including analysis, development, coding, testing, and deployment of high-quality applications and products.

• Manage real-time market data within the region and develop EMEA-specific solutions and requirements.


• Support the Global Data & Analytics platform, including both real-time and historical data environments.


• Work closely with and support trading desks and quantitative teams.


• Implement functionality based on defined APIs.


• Develop and maintain reusable, library-grade software.


• Ensure clean, efficient coding practices and adherence to industry standards.


• Collaborate with developers to deliver efficient and robust solutions.


• Produce and maintain technical documentation.

Technical Qualifications

• 3+ years of experience working with large financial datasets, such as market data, order and execution data, and positions data.


• 3+ years of Kdb+/Q experience and strong experience in Unix/Linux environments.


• Excellent communication and interpersonal skills, with the ability to interact effectively with developers, QA teams, and production support teams.


• Demonstrated ability to learn new technologies and business domains.


• Experience with Python (including cloud-based technologies, Apache Iceberg, and Parquet); Java is advantageous.


• Experience working within Agile development methodologies is beneficial.

Highly Valued

• Capital markets experience, particularly within derivatives, equities, indices, and ETF trading.


• Proven track record of delivering technology solutions; cloud experience (AWS preferred).


• Strong team player with a collaborative mindset.


• Ability to apply critical thinking and introduce innovative ideas.


• Demonstrates accountability, attention to detail, and ownership of deliverables.