FairXchange

DATA SCIENCE FOR FINANCIAL MARKETS

 

FairXchange brings clarity and transparency to execution performance through the provision of independent data

 

Banks, brokers and hedge funds can use our state-of-the-art analytical tools to facilitate constructive, data-driven dialogue with their counterparties

 
ABOUT US

Our Philosophy

We believe that all participants in financial markets should be able to transact at a reasonable price, and in a way that enables them to maintain a sustainable business in the future.

Of course this means that consumers of liquidity should not expect to pay too much to transact. Perhaps less obviously it also implies that they shouldn’t expect to pay too little; they should probably be seeking to identify situations where that might be the case - and asking why.

 Equally importantly they should understand the impact that trading behaviour has on execution costs - both their own and that of their counterparties.

Transparency and Insight

Whether it be measuring the explicit and implicit costs of trading on risk transfer prices, quantifying the cost of Last Look or systematically and rigorously comparing algorithms, we aim to bring clarity and understanding to all through powerful analytics and transparent, independent data.

Independence

FairXchange is completely independent and has no affiliation with any execution venues or liquidity providers. 

JOIN US

We are innovators at heart.

 

If you are creative, intellectually curious and think you can identify commercial applications for new technologies in a fast paced, exciting environment, we want to hear from you.

Sep 07, 2021
About the Role We are looking for an ambitious data scientist/quant developer to assist with both quantitative research and the development of much of the new functionality we have planned.  You will be involved in the whole lifecycle of data analysis. You will have the opportunity to shape our products; you will be involved in modelling, implementation, visualisation design and working with clients.    We make extensive use of Python (Pandas and Numpy) for time series modelling, and our technology stack also includes Flask, NGINX, React, Docker, Linux and AWS.    You will have the opportunity to expand your role as we grow, working with our domain experts to deliver market-leading software using the latest techniques in machine learning and AI. About You Essential      You have a Mathematics/Statistics background You can...
FairXchange Remote (London, UK) Full time