Qualifications, Experience and Knowledge
An appropriate Hons quantitative degree (e.g. Mathematics, Applied Statistics or Actuarial)
A finance or investment related post grad certification/ qualification would be advantageous
Machine learning / automation experience
Experience in relevant quantitative research and analysis
Direct data science experience is required

Responsibilities

Build mathematical, statistical and other machine learning based models to support business decision making and determine the impact of investment decisions on business Identify, understand, quantify and measure the risk associated with the portfolios, asset classes, and markets as it relates to solutions to support investment process. Identify risk drivers, attributing the return on those drivers, to help the portfolio management teams to manage risk to get the highest return given the level of risk Work with the investment team to use quantitative research to assist with idea generation.

Drive the design and implementation of quantitative research projects as part of the Research Hives activities.
Collaborate with other teams inside the Momentum Investments business on applied research
topics that will lead to enhanced business performance
Have a specific focus on enhancing the quantitative research and decision-making process of the company through the application of machine learning and related Artificial Intelligence based techniques
Understand short- and long-term market factors compared with historical evaluations relative
to a market index.
Using ongoing quantitative research make recommendations regarding the appropriate
improvements on solutions to ensure market dynamics are considered and effectively
responded to.
Create awareness of the OBI philosophy across MMH to foster greater understanding and buy in to the philosophy.
Foster effective working relationships and collaborate within other colleagues in Momentum
Investments, the customer segment businesses, and any relevant external stakeholders.
Identify and develop independent research techniques and projects to enhance research
output.
Understand, utilise, create and develop statistical, mathematical and machine learning-based
tools in order to increase investment insight.