Lead Quantitative Developer: Python: Power Trading

Job type:
on-site
Start date:
2021-03-01
Duration:
6 months initially
From:
Eaglecliff Recruitment
Location:
London
Published at:
03/02/2021
Country:
flag_no United Kingdom
Project ID:
2061000

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Lead Quant Analyst Developer: Power Trading

This World Leading Energy Company is looking for a Lead Analyst Developer, with expert level Python and algorithm development, to help expand the trading desks quantitative ability by providing development support and best practices to market analysts.

This will enable the desk analysts to continue working on the 'quant-stack' and the developers to work on the 'tech stack'. The quant or analyst developer will work in Tandem with the analysis team to build scalable models, or support middle and Back Office teams with their analysis and modelling needs.

Responsibilities:
Produce accurate, performant, and maintainable code following all IT standards.
Ensure that work is part of a coherent data landscape, contributing to the wider Trading & Supply data objectives and ambitions.
Build research tools with reuse in mind.
Provide coaching and a point of focus for tech related enquires for Quants.
Liaise and collaborate directly with Traders and Quants.

Requirements:
Mandatory
oPhyton eg Packages and package management, async python etc.
oExperience with data extraction, basic data wrangling/pipelines, etc.
oExperience managing or consuming fundamental data related to commodity trading, preferably at multiple financial services organisations - experience in one or more of power, gas, carbon or LNG Trading/Commodities would make a candidate stand out.
oExperience in working with low granularity time series data.
oStatistical background eg degree, masters or PhD in STEM subjects, or can demonstrate significant skill through prior projects.
oCan explain software engineering best practice eg CI/CD, 12-factor, git branching strategies, test automation.
oExcellent written and verbal communication.
oTakes pride in growing others through coaching, collaborating and supporting peers.
oCan explain how designing and deploying for the cloud (eg Azure, AWS, GCP etc.) is different than designing for on-premise.
Optional
oExperience with Azure Data Factory, Azure Functions for data engineering.
oExperience in one or more of power, gas, carbon or LNG Trading/Commodities.
oExperience with the Azure technical stack - but ability to explain the key components of any major cloud platform is fine.