Quantative Analyst

Harvey Nash Plc; Scotland; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading recruitment firm is seeking a Quantitative Analyst for a contract role in Perth. This hybrid position involves supporting EM Trading within the Systematic Trading Project, focusing on Strategy workflow and dependencies. Candidates should have high proficiency in Python and SQL, experience in quantitative methodologies, and knowledge of Commodities Trading. You will work closely with project leadership and provide crucial support in various areas including prototyping and stakeholder interaction. The role requires onsite presence two days per week.

Qualifications

• High proficiency in programming languages such as Python and SQL.
• Familiarity with ITIL processes and Agile/DevOps practices.
• Expertise in statistical analysis and time-series analysis.

Responsibilities

• Work closely with the Systematic Trading Project SME.
• Gain insight to platform design and technical implementation.
• Provide a link between project stakeholders and platform developers.

Skills

High proficiency in Python

High proficiency in SQL

Statistical analysis

Time-series analysis

Signal processing

Machine learning/AI

Tools

Visual Studio

Azure DevOps

Job description

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.

Responsibilities

• 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 workstreams tackling dependencies, including prototyping examples to make theories or complicated logic become tangible examples for project stakeholders.
• Provide a Quantitative Analyst skill set 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.

Skills & Experience Required

• 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/DevOps practices, cloud operations, and tools like Visual Studio and Azure DevOps.
• 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 life cycle, trade systems, trading tick data.
• Commodities: Nice to have, some understanding of systematic asset optimisation, market making and proprietary strategies.