Data Scientist

LMAX Group | Shaping the future of the global FX and crypto marketplace


The LMAX Group is the leading independent operator of institutional execution venues for FX and crypto currency trading. LMAX Group is unique in offering market access to all FX customer segments, transforming the world’s largest asset class to an open, transparent marketplace with fair, precise & consistent execution.


London, England, United Kingdom


Job Description

Job description

About the Role:

The Data Scientist role supports the business function by using data to solve and understand practical business problems. This can involve making a business case to justify development time, data analysis to support decision making and understanding, or the application of modelling to improve business processes. Working alongside the in-house Development and Data Science teams, this role uses data from a variety of applications, including Trading, Liquidity, CRM and Risk to support business decision making, as well as accelerating the use of Data and MI throughout the business.

Main Duties & Responsibilities:

  • Using existing data and statistical techniques to investigate speculative or business urgent requirements
  • Engaging with internal stakeholders to validate and elaborate on requirements and priorities
  • Assist with the development of reporting to produce testable frameworks which provide operational reliability and auditability
  • Understanding business processes and developing data presentation tools such as dashboards and reports
  • Application of analysis and automation to support key business functions
  • Developing an understanding of trading and market structure
  • Development and deployment of advanced statistical techniques or machine learning models to improve or automate business processes
  • Researching market structure and order book dynamics to understand key relationships for trading patterns and broker volumes
  • Helping drive the use and application of data and ML in the business
  • Presenting research and outputs to senior stakeholders to help determine strategy and business focus


Essential Skills / Experience:

  • A STEM degree, or equivalent, which included mathematical applications
  • Strong SQL and Python ability
  • Familiarity with standard Python libraries including pandas, numpy and scikit-learn
  • Strong problem solving skills with the ability to apply creative solutions to complex tasks
  • A great team player that is comfortable working on concurrent projects

Desirable Skills / Experience:

  • Experience or knowledge of the finance industry
  • Commercial work experience involving data analysis and the application of machine learning or advanced statistical techniques
  • Commercial scripting and development experience
  • Experience designing reporting tools and/or dashboards
  • Basic development using Perl/PHP etc.
  • More advanced development skills such as Java
  • Windows/Linux OS knowledge as a power user
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