Quantative Analyst

Harvey Nash Group; Perth; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading recruitment firm is seeking a Quantitative Analyst in Perth for a hybrid role focused on systematic trading. The position involves programming in Python and SQL, collaborating with trading teams, and contributing to the implementation of trading strategies. Ideal candidates should have strong skills in statistical analysis and signal processing, along with familiarity with Agile practices. The role offers a day rate of up to £800 and requires onsite presence twice a week.

Qualifications

• Must be proficient in programming languages such as Python and SQL.
• Experience with ITIL processes, Agile/DevOps practices.
• Familiar with cloud operations.

Responsibilities

• Work with the Systematic Trading Project SME to provide value across the project.
• Gain insight to platform design and contribute to technical implementation.
• Support project stakeholders with tangible examples.

Skills

High proficiency in Python

High proficiency in SQL

C#

.NET

C++

Statistical analysis

Time-series analysis

Signal processing

Portfolio theory

Optimisation

Machine learning/AI

Exposure to systematic trading

Expertise with trade lifecycle

Understanding of Commodities

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 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.

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 lifecycle, trade systems, trading tick data.
• Commodities: Nice to have, some understanding of systematic asset optimisation, market making and proprietary strategies.