Connecting...

Python Engineer

Python Engineer

  • Location

    London, England

  • Sector:

    Investment Management

  • Job type:

    Permanent

  • Salary/Rate:

    £65000.00 - £85000.00 per annum + Pension, Bonus

  • Contact:

    Jack Waller

  • Contact email:

    jwaller@veqnuis.com

  • Salary high:

    85000

  • Salary low:

    65000

  • Job ref:

    BBBH13646_1590739360

  • Published:

    about 1 month ago

  • Expiry date:

    2020-06-28

  • Startdate:

    ASAP

  • Consultant:

    #

**Python** **Asset Management** **Quant** **Front Office** **Developer** **Engineer**

Salary: £65,000-£85,000 + 40% bonus and 14% pension

Location: London

My client, a leading asset management company, are looking for a passionate Python technologist, preferably with a quant based background, to work within the Systematic Investments Technology team. The team support a growing quantitative investment business who currently have ~£28bn assets under management in this team alone.

This is an exciting opportunity to join one of the largest organisations within the industry and grow within a front office agile team.

What you'll do

  • Be part of a business facing team with a high visibility
  • Deliver a first class data and analytics platform to support investment decision making and quantitative research
  • Refine the existing investment and research platform in response to business needs
  • Work with the quants to adopt Python and transition the current systematic models over to the new platform
  • Coach and develop more junior team members, ensuring that best practices and methodologies are followed

The knowledge, experience and qualifications you need

  • Strong Python development experience, preferably in an enterprise environment
  • Python library knowledge including packages such as pandas, numpy and numba
  • Experience with both SQL and NoSQL database platforms
  • A drive to deliver with an ability to own a piece of work from start to finish
  • An understanding of data structures and common data transformation methodologies
  • Able to work in a modern software engineering environment, using Agile and DevOps methodologies and tools including Scrum, git and CI/CD
  • Able to deal credibly with business and technical users at all levels of the organisation

The knowledge, experience and qualifications that will help

  • Proficiency in the Linux environment
  • Experience using Docker containers and preferably Kubernetes
  • Experience with cloud, especially Azure
  • A Computer Science and financial services background

If you feel you match the skillset above then please apply and I will be in contact within 24 hours.