My role at Schroders is ‘Data Science Developer’ in the Data Insights Unit, a term which covers a few bases. The team was established in 2014, with an aim of mining insights from alternative data to give fund managers an ‘information edge’ over competitors.
The ‘Developer’ part of my title comprises building reports to deliver insights derived from data to investors, and well as tools to streamline internal team processes. “Insights derived from data” is where ‘Data Science’ comes into play. I consider and apply various statistical techniques, to account for biases and edge cases.
The teamwork attitude in my team encourages discussion, and a fresh set of eyes is valuable when determining what and how to deliver to an investor. I gain great satisfaction from enabling investors to draw conclusions quickly and easily from my work, and it is rewarding to hear when a piece of our analysis results in a positive investment decision, which ultimately benefits Schroders’ clients.
Long term, I would like to take on responsibility for some larger projects. My team is open minded when it comes to progression, and I can steer myself towards people management, or continuing to be a solo contributor with more authority. Two of my fellow female teammates are on secondments in our regional offices, which is something I would love to do. Schroders is also funding my enrolment on a data science course to further sharpen my statistical methods skillset.
Since beginning my Computer Science degree, I have been in the minority, as a woman. I am confident that Schroders will provide me with the opportunities and training to help me go far in the field of data.