- 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.
- Troubleshoot issues faced by quants/traders in a real time trading environment.
- The build and maintenance of tools, to industrialize support of a cutting edge in-house trading platform.
- Building KDB systems. Dev ops and production support.
- Helping to build out the 'next generation' of Equities execution platform.
- 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.
- Experience with Google Cloud Platform.
- Demonstrable knowledge of Equities Business.
- Experience with Refinitiv Market Data solutions.
- Experience with designing and developing complex micro services based on business requirements with little to no external guidance.
- You will handle all phases of development (requirements gathering/analysis through to implementation), establishing solid relationships and trust built on proven delivery.
- If a challenging role paying very competitively, being part of a progressive team is for you then please apply and we look forward to meeting you.
- We are a diverse company and appreciate different people have different circumstances so we are open to flexible working arrangement whether it be the number of days, hours or location that you are able to work.
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KDB Developer - New York, United States - BAMM USA
Description
HYBRID - MUST BE IN NYCOVERVIEW:
Equities Technology solve some of the most interesting and complex challenges in the financial industry to help our global business and its customers succeed. Shipping code early and often using Agile and DevOps principles is critical for us to deliver business value, with continuous improvement and learning at the centre of everything we do. We are motivated by challenging each other to push the boundaries of financial and technological innovation, in an open, inclusive, and diverse environment. We are looking for the brightest and best developers to take our capability forward.
ABOUT THE TEAM:
You will join our Algo Analytics and Execution Data POD in Equities Electronic Trading. We 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. We work very closely with our business colleagues so you will have the opportunity to work directly with our business traders and quantitative analysts. We are a global team with staff in Guangzhou, Pune, Krakow, London, Belfast, New York and Vancouver.
PURPOSE OF THE JOB: