Application Support Engineer

DRW Holdings, LLC.; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading trading firm in the City of London is seeking a Data Support Specialist to operate and monitor sophisticated data analysis pipelines. The candidate should have experience in supporting high-performance applications in the financial markets and familiarity with market data systems. Key technologies include AWS, Java, and Python. This role emphasizes analytical skills and collaborative support processes.

Qualifications

• Experience in supporting high performance applications in finance.
• Understanding of market data and order data systems.
• Ability to monitor and troubleshoot production jobs.

Responsibilities

• Operate a sophisticated data analysis pipeline.
• Monitor production jobs and troubleshoot issues.
• Provide L1 and L2 support for users.

Skills

Analytical skills

Troubleshooting

Experience with market data

Familiarity with AWS

Tools

Java

Python

Kafka

Git

Job description

Overview

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

The team you will be joining

• Work with low latency financial market data and learn the intricacies of how market data feeds and electronic exchanges work
• Work with order data across a vast array of markets and asset classes
• Support systems processing that data for Surveillance and Regulatory Reporting functions
• Work with sophisticated analytics tools that are custom built by our team of developers
• Use the latest technology stacks such as AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka and Argo
• Is globally distributed across Europe and North America supporting global systems.

Our team cares deeply about preserving a respectful and diverse team culture. We believe in choosing the right tech for the job even if that means learning something new or reviving something old. We value business impact and outcomes over process, and we make decisions based on data. We strive to adapt quickly as business priorities change.

What you’ll do

• Operate key parts of a sophisticated data analysis pipeline
• Monitor and troubleshoot production jobs
• Monitor and work through list of data-related issues raised by the system, drilling into those requiring action, including looking into the code
• Consult with developers to determine appropriate courses of action and make suggestions for improvements to the system
• Monitor support channels and respond to user issues (2-10 per day)
• Provide L1 and L2 support for users and collaborate with developers on L3 support
• Onboard support processes for new development teams and applications as the support team continues to expand

What we’re looking for in this role

• Previous experience supporting, monitoring, and troubleshooting high performance applications in the financial markets industry
• Experience working with market data or order data systems
• Excellent analytical and troubleshooting skills
• Familiarity with transfer protocols for financial data (FIX, native protocols)
• Exposure to object orientated code. Java, and Python are a plus
• Familiarity with version control software (git or svn)
• Experience with cloud computing, AWS preferred
• Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandatory.

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