Java FX Options Trading Developer - Contract - Umbrella/PAYE
Java FX Options Trading Developer – Contract – Umbrella/PAYE – Remote/London
One of the most successful Banks in the world is looking for an expert level java developer to work for their FX Options Trading Desk and enhance their electronic offering to clients globally. They are investing heavily at this time to enhance their position within the FX market, with particular focus on their London Headquarters for this desk.
The role will require development of both greenfield components and enhancements to legacy systems, working with Quants and Traders on models and also working on low level advanced technical enhancements, with a big focus on low latency systems development
You must be an expert in multi-threaded java, with experience on low latency, high performance systems. This is a fast paced, high action environment!
Up to £700 per day! 12 month contract
Requirements overview:
- Expert level multi-threaded Java development skills
- Low Latency systems experience
- Ability to run a project within a team and as an individual
- Experience working with Quants/Traders (Ideally FX Options knowledge)
- Strong academic background (STEM subjects preferred)
Full job spec can be provided upon application
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
email - as they go live.
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- To collaborate with the business to understand requirements.
- To create and design meaningful / Insightful reports within Power BI.
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McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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- Work closely with the Bank’s Users to help articulate any system issues or incidents they may have.
- Conduct in-depth analysis and investigation into SAP issues and recommend best practice solutions to ensure day-to-day operations in the Bank are not compromised.
- Utilise expert knowledge of the SAP implementation Guide (IMG) to design and implement configuration changes
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- To create and design meaningful / Insightful reports within Power BI.
- To query data from the data warehousing using SQL.
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- Strong DAX and SQL experience.
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