Investment Trends, established in 2003, is a renowned global market research firm specialising in delivering insightful business analytics and decision-making support to premier financial services organisations worldwide. Our expertise extends to conducting comprehensive syndicated and customised quantitative research across ten countries, namely Australia, the United Kingdom, France, Germany, Spain, Hong Kong, Singapore, Italy, the United Arab Emirates, and the United States. Our research delivers deep, actionable insights into consumer and adviser needs, empowering our clients to shape corporate strategy and develop superior products and services. Recognized globally for our expertise, we are held in high regard by clients, largely due to the strength of our insights. By combining analytical rigor with strategic thinking and advanced statistical techniques, we help our clients gain a competitive edge. As part of our team, you will have the opportunity to work with world-class mentors, applying and developing statistical models to create real-world commercial insights and solutions for our global clientele. KEY RESPONSIBILITIES Reporting to the Director of Statistics while working alongside the Research Team, this role is full-time and will span long-term project research and engineering duties Utilising Machine learning and AI to automate and streamline existing capabilities Managing and large datasets from multiple sources Benchmarking research methods against state-of-the-art academic literature Conduct independent research and provide statistical support to the research team as required. Back-testing models against suitable benchmarks and metrics Driving model development and research into production grade systems Producing intuitive and immersive data visualisations Producing written method papers that are clear and well-communicated Delivering outputs/results according to pre-agreed timetables Investigating ways in which our statistical methods can be enhanced. QUALIFICATIONS/SKILLS Holds a Master of Science in Applied Statistics Demonstrable practical experience in application of statistical models and theory Programming Language R Proficient in; STATA, Python, SPSS, Latex, Matlab, Minitab, Git, Machine Learning, Power BI, Tableau Skilled in: MS Word, MS PowerPoint and MS Excel Excellent statistical modelling skills Excellent data cleaning and analysis skills. Excellent communication (written/verbal) skills Strong work ethic