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Software Team Lead (Quant / Digital) - Energy- London

Options Group

City Of London

On-site

GBP 80,000 - 120,000

Full time

Yesterday
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Job summary

A leading energy trading company is seeking a Digital Software Lead to drive innovation in the Digital and Automation space. This role involves leading a talented team of engineers and developing cutting-edge solutions for finance and operations using advanced technologies, including AI. Candidates should have a strong software engineering background, particularly in Python, and a history in prestigious financial institutions.

Qualifications

  • Professional background from a top hedge fund, investment bank, or BigTech.
  • Experience in AI initiatives is essential.

Responsibilities

  • Leading digital and automation initiatives within the Quant Engineering Team.
  • Hands-on contribution as a Software Engineer while also leading a team of 10+ engineers.
  • Developing POCs and managing stakeholder relations with key teams.

Skills

Fluency in Python
C++
Java
C#

Education

BSc / MSc / PhD in Computer Science

Job description

Job Description

We are recruiting a Digital Software Lead for a major energy trader (£200bn T/O). The role is focused on the Digital / Automation space and sits within the Quant Engineering Group.

The brief is to develop new and innovative solutions using the latest technologies (e.g. Automation, Low Code, AI) for the Finance, Risk, Treasury, Operations teams.

The Role:

  • Leading digital / automation initiatives as a part of the Quant Engineering Team
  • Contributing as a Software Engineer (hands-on) as well as a leader
  • Leading a team of 10+ Software Engineers
  • Identifying 'use cases' and developing POC's
  • Leading stakeholder relationships with internal teams (trading, finance, operations)

Requirements:

  • Fluency in Python
  • High level os ability in also C++, Java, C# ( as well as Python)
  • BSc / MSc / PhD in Computer Science
  • A background in a top hedge fund / investment bank / BigTech
  • Previous experience in AI initiatives
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