Overview:

You will join the Algo Analytics and Execution Data POD in Equities Electronic Trading. They are a software engineering team using KDB+/Q time series technology to handle large volumes of financial markets data each day.

Collecting, storing, analysing and distributing data across multiple systems with varied requirements creates many interesting challenges and gives plenty opportunities for improvements and innovation – including usage of Cloud storage and compute engines. They work very closely with their business colleagues so you will have the opportunity to work directly with their business traders and quantitative analysts.

They are a global team with staff, including Guangzhou, Pune, Krakow, London, Belfast, New York and Vancouver.

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About the department:

They are Markets & Securities Services IT Poland, a technology department providing technology services and solutions for the Investment Bank businesses at the company. Systems they create enable transactions across multiple asset classes. Their teams work in partnership with the business counterparts to deliver high-throughput systems, from low latency trading applications to large Microservices platforms. They also perform architecture and cloud migrations.

They are motivated by challenging each other to push the boundaries of financial and technological innovation, in an open, inclusive, and diverse environment. They are looking for the brightest and best developers to take their capability forward.

Equities Technology solve some of the most interesting and complex challenges in the financial industry to help their global business and its customers succeed. Shipping code early and often using Agile and DevOps principles is critical for them to deliver business value, with continuous improvement and learning at the centre of everything they do.

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Responsibilities:

• Building and maintaining KDB microservice based applications across multiple locations in a Hybrid (Colo-Campus-Cloud) model across the globe
• Creating and updating automated reporting based off of KDB stored data
• Working with quant team to develop and implement new models for algo trading as well as reports based off trading activity
• Troubleshooting issues faced by quants/traders in a real time trading environment
• Building and maintenaning of tools, to industrialize support of a cutting edge in-house trading platform.

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Required skills:

• Strong KDB and Q language skills to handle time series data
• Excellent communication skills & ability to influence project design and scope
• Experience in automating the delivery pipelines and building a self-resilient platform
• Experience with Qspec testing framework
• Knowledge of Google Cloud Platform
• Demonstrable knowledge of Equities Business
• Experience with Refinitiv Market Data solution
• Experience with designing and developing complex micro services based on business requirements with little to no external guidance.

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Note: Prepare your CV in English (PDF), fill in the form, and apply! 

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