Job description Posted 11 August 2023

Senior Data Engineer

London

12 Months Contract

£1000 per day via umbrella company

 

This role is to join the Data and Analytics team.

 

Our team setup:

 

·      Our services form a core part of the eRisk (electronic Risk) business and are the golden source of MI and analytics for quants, sales and trading. The platform uses KDB+ to facilitate quantitative research and back testing, and also serves a number of regulatory reports and compliance alerts

·      Our application is responsible for capturing, storing and analyzing data in excess of 5billion records per day from a large number of FX electronic trading venues, as well as internal pricing and trading data

·      We run hundreds of services concurrently in production and perform multiple releases per day

·      There are increasing demands for services built within the application. The successful candidate will join a global team working out of London, Hong Kong and Krakow

If your goal is to:

 

·      Develop scalable, high-performing software and engineer services which handle billions of records, analyse large datasets and find value in the data

·      Work heavily with KDB+/q and how this is applied to data engineering

·      Be part of a diverse and global team who focuses on fast delivery and user experience

·      Understand the business context of what we do and engage directly with Traders and Quantitative Analysts as well as other Technologists

 

If you have:

 

·      An analytical mind and are excited about solving complex data engineering problems, with strong computer science fundamentals and a deep understanding of the q language

·      A demonstrable passion for technology and automation, optimizing and improving solutions

·      Demonstrable interest in understanding data and how to combine and present it in various ways, dealing with large datasets and some basic statistical concepts

·      Knowledge or interest in Linux and Cloud Infrastructure services, e.g. GCP

·      Aptitude for understanding requirements by talking directly to Traders and Quantitative Analysts and solving problems through proactive and collaborative engagement with teammates, owning a change from inception, to testing and releasing it to the users

·      FX/quant and trading/ Financial markets, building analytics for business performance/ quant research/ python knowledge/ Performance resilience systems/ large scale data sets/ Build and develop infrastructure/ Multi faceted.

Essential experience/skills (3 minimum)

·      Familiarity with product KDB + in financial markets

·      Low latency trading environment / analyse traffic/ extracting MI from data sets/ equities

·      5 years +

·      Analytical

·      Practical experience essential

·      Strong Q

 

Desirable experience/skills

·      Python

·      Java