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Form of work
SalaryMy client is systematic Quant Asset Management Firm run by around 80 programmers based all around the world including London and New York.
My client have a mix of Quantitative, Technology and business in their day to day jobs. Your position will be to distribute technology to analyse banks trade and risk data
The role of the hire is to acquire, pre-process, and distribute multiple data sources for the investment research. As part of the team you will work closely with the quant researchers, you will be handling a lot of data rather than scientific calculations, the role will involve data messaging, reconciliation, data flow and a whole load more of data! You will also be working on HFT and some concepts of low-latency.
Building API's for scenario generation calling into quant libraries
They work in a Linux/Unix environment whilst using Python as the programming language
- Good education, ideally computer science or engineering
- Very strong Python programmer, pandas and numpy libraries(2 - 7 years)
- Agile methodology
- Financial, Linux and SQL experience
Qualifications:
Ability to track down complex data and engineering issues, evaluate different algorithmic approaches and analyse data to solve problems.
Experience with SQL and NoSQL technologies
Experience with C++
Salary expectations – Can reach up to £160,000 total comp (Please be realistic)
HOW TO APPLY
‘LinkedIn Easy Apply’ with your most updated resume ASAP.
You can also reach out direct via Linkedin to me or shoot me over your CV/resume via email.
