Quantitative Developer: Python

London  ‐ Onsite
This project has been archived and is not accepting more applications.
Browse open projects on our job board.

Description

Quantitative Developer: Python

Exciting opportunity for a Quantitative Developer to join this global Energy company's Power Trading division.

This is an exciting time to be joining this world-leading company as they transform themselves from a traditional Oil & Gas company into a leading name within the Renewables sector. This includes the creation of an already highly successful new Power Trading desk within the Energy Trading team as well as new ventures into various innovative solutions around the supply of Renewables including wind farms, electric vehicle charging, solar panel heating and battery storage. These innovative solutions provide opportunities for exceptionally highly talented individuals to contribute to the success of this transition where you will be working with some of the best people in the industry working on new and ground-breaking initiatives utilising the very latest technology.

This World Leading Energy Company is looking for a Quantitative Developer to help expand the power trading desks quantitative ability by providing a capability to provide development support and best practices to Quants on the desk.

This will enable the quants to continue on working on the 'quant-stack' and the developers to work on the 'tech stack'. The quant developer will work in Tandem with the quants to establish the risk premiums for renewable assets across Europe, help in building structing models for complex deals, and forecast a growing and complex mix of generation assets.

Responsibilities:
Produce accurate, performant, and maintainable code
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

Technical Requirements:
Python o Packages: Numpy, SciPy, Sickt-Learn or Keras or Tensorflow
Power Trading/Commodities Experience
Statistical background o Masters or PhD in STEM Subjects, (Financial Engineering preferable)
Experience in working with low granularity time series data
Experience in working with Data Engineers to get the most out of ETL processes
Experience with Azure (Blobstorage, Cosmo DB)
Dedicated to Agile best practices - (shared understanding, enough documentation, focus)
Familiarity with storage quality practices - (Gold/Silver/Bronze)

This needs combining with a positive attitude and an ability to work within a large, globally dispersed project team in a multi-cultural environment. You also need to be a self-starter, a logical thinker and a quick learner, with strong initiative and excellent communication, interpersonal and presentation skills, able to write clearly and concisely. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age. Specialising within Energy Trading, Oil & Gas, Financial Markets and TV & Entertainment, Eaglecliff Recruitment is ISO accredited, a Member of REC and listed within the top 4% for Financial stability by Dun & Bradstreet. Please telephone for an immediate response or email your CV for a reply within one hour. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing
Start date
2022-02-07
Duration
6 months Initially
From
Eaglecliff Recruitment
Published at
19.01.2022
Project ID:
2293735
Contract type
Freelance
To apply to this project you must log in.
Register