Intersectionality of gender and ethnicity has been discussed and analysed in many qualitative studies but rarely investigated quantitatively. Previous studies have separated migrants into two major sub-groups, those with English speaking and non-English speaking backgrounds, to help explain patterns in labour market outcomes. Moreover, previous studies have clearly demonstrated intersectionality among disadvantaged workers but said little about its existence among highly skilled workers. A deeper understanding can be gained by analysing outcomes with reference to particular sub-groups with different socio-economic, birthplace, and skill characteristics. Using the Australian Census and Migrants Integrated Dataset (ACMID) for 2011 and 2016, we show that gender and ethnicity (to be precise, regional of birth) are two important factors affecting skilled migrants’ labour market outcomes. Applying intersectionality theory (Crenshaw 1989), our model measures intersectional degradation among racially diverse female skilled migrants in the Australian labour market. The model identifies and quantifies a crucial distinction between ‘simple’ and ‘complex’ intersectionality effects. Our findings confirm the existence of ‘complex’ intersectionality effects in every female skilled migrant group from outside northwest Europe and show that the worst intersectionality effects were among female skilled migrants from Middle East and North African, northeast Asian, and southern and central Asian regions.