Quantitative Analyst


Premium Job From Shell

Recruiter

Shell

Listed on

24th April 2018

Location

London

Salary/Rate

Good employment conditions

Salary Notes

Good employment conditions

Type

Permanent

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Company Description

Shell started operations in the United Kingdom more than 110 years ago. Since then we have grown into a leading innovative oil and gas company that rewards its employees by investing heavily in their careers and learning. Our people are our greatest asset, and our commitment to your career will see you thrive in a work environment that offers an industry-leading development programme. When your ideas travel, Shell will benefit and innovation will thrive. Shell has a key role to play in helping meet the UK’s growing energy demand, whilst using innovative technologies to develop cleaner energy. We are the largest FTSE 100 company in the UK by market capitalisation, and make a significant contribution to the UK economy. As well as processing 35% of the gas coming into the UK, we serve more than four million customers at our filling stations each week. Shell employs some 6,400 skilled staff as well as many contractors.

Job Description

The Quantitative Analyst role is a new position within the Refined Oil Products desk aiming to developing data/analytics models and algorithmic solutions to leverage the capabilities of the trading desk across a wide variety of activities, ranging from data analysis and machine learning, trading algorithms strategies and options. The role is based in London and reports to the Digital Trading & Analytics Team Leader but is expected to interface with other analytics teams across the organization. The Global Derivatives Business has a turnover of more than $500M per day and employs 30 staff to manage, quote and trade price risk management solutions for our RDS Downstream Businesses and third party industrial clients (over 300 internal and external clients in total).

The Quantitative Analyst will be expected to:

                     Work within a highly competitive trading environment.

                     The successful applicant will need to know/learn the tools of trading (systems of record, ETRM systems and other trading tools).

                     The role is within the front-office trading desk and geared towards creating models that will leverage our trading capabilities.

                     Observe and comply with all regulatory guidelines

                     Seek out innovative solutions

Requirements

                     Strong analytical background with an advanced quantitative degree (mathematics, physics or engineering).

                     Proven experience (min 3 years) in data analytics and advanced statistics.

                     Strong programming (C/C++, .NET/Java, Python, VBA) and database experience.

                     Knowledge of trading algorithmic models and machine learning techniques will be preferred.

                     The successful candidate is expected to be profit-focused and be able to work and deliver in a fast pacing environment.

                     Ability to understand risks and communicate to traders

Disclaimer

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date.

Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world.

The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand.

Shell is an Equal Opportunity Employer.

Removal Date 11-May-2018

Interested?

Apply online via the 'APPLY' button.

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