Quantitative Analyst

Overview

In this role you will interpret and manipulate large datasets to build quantitative models and apply statistical techniques. You will collaborate with analysts, developers and other specialists to implement data-driven solutions in a fast-paced setting. You will back-test models, validate methodologies and communicate insights to both technical and non-technical stakeholders. This opportunity offers exposure to advanced modelling in a highly analytical team and a meaningful impact on data-driven decision making. You will thrive working independently while contributing to a collaborative tech-enabled environment.

Pay / Benefits

• competitive salary

Responsibilities

• Analyse large, complex datasets to identify trends and insights
• Develop and enhance quantitative, mathematical and statistical models
• Apply probability and statistics to real-world problems
• Develop, test and validate analytical models and methodologies
• Use programming languages to analyse data and develop quantitative solutions
• Collaborate with developers to implement analytic models and solutions
• Back-test models against historical data and assess performance
• Identify improvements to models, processes and analytical techniques
• Communicate complex findings clearly to technical and non-technical stakeholders

Key requirements

• PhD or MSc in a highly quantitative discipline
• Strong understanding of probability, statistics and mathematical modelling
• Experience with large datasets and detailed data analysis
• Proficiency in Python, C#, C++ or Java
• Experience in data science, quantitative analysis or statistical modelling
• Strong analytical and problem-solving abilities
• Excellent attention to detail and numerical accuracy
• Strong communication skills and team collaboration
• Proactive and inquisitive approach to solving complex problems

• strong communication
• team collaboration
• proactive problem-solving
• Python
• C#
• C++

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