We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. Proficiency in quantitative and statistical methods relevant to investment analysis, including portfolio construction, risk modelling, and performance analytics, with comfort working across large datasets and financial modelling tools.