Quantative Analyst

Quantitative Analyst - Inside IR35 - Perth (Hybrid) - Private Sector

Day Rate – up to £800

Duration – 6 months

Harvey Nash's Client are looking to bring in a contract Quantitative Analyst, this role takes responsibility to support, drive and represent EM Trading in the Systematic Trading Project that is underway with a core focus on the Strategy workflow and related dependencies. This strategic role will work closely with the Project leadership, in particular the Systematic Trading Project SME.

Please note that you must be onsite 2 days per week.

• Work closely with the Systematic Trading Project SME from Trading to provide value across the project from the lens of a Quantitative Analyst responsible for parts of the Strategy workflow in collaboration with Trading Teams.
• Gain insight to our platform design and provide material input and impact to the technical implementation both for the core platform and the strategy workflow.
• Provide dedicated support to the project as a whole including non-technical members in work streams tackling dependencies, including prototyping examples to make theories or complicated logic become tangible examples for project stakeholders.
• Provide a Quantitative Analyst skillset as a link between project stakeholders and the platform developers, with particular focus time with the Trading SME.
• Gain direct knowledge and exposure to Commodities Trading (particularly Energy) with a wide scope from asset to proprietary, signal generation to automated execution and all related dependencies.

• Programming:
  High proficiency in core languages such as Python and SQL (including data workflow from source to action, including schema design, persistence infrastructure etc.), as well as nice to haves including C#, .NET, C++ or otherwise.
• Development:
  Familiar with ITIL processes, Agile/Dev Ops practices, cloud operations, and tools like Visual Studio and Azure Dev Ops.
• Quantitative:
  Expertise in some of the following, statistical analysis, time-series analysis, signal processing, portfolio theory, optimisation, machine learning/AI.
• Systematic strategies:
  Exposure and some understanding of Systematic Trading and Strategies for signal generation, automated trading and the full strategy workflow.
• Trading/Finance:
  Expertise with full trade lifecycle, trade systems, trading tick data.
• Commodities:
  Nice to have, some understanding of systematic asset optimisation, market making and proprietary strategies.