At Penn, I was involved with the Advancing Women in Engineering program. We worked closely with the national Society of Women Engineers to get more women interested in engineering and computer science. Since SIG’s head of technology is a woman, I actually invited her to speak at an event for the organization. I had only been here for six months at the time, so I thought it was really cool that I could ask her to do that.
While I was in school, SIG had donated the funds for this great design lab, the SIG Center for Computer Graphics, which was located near the lab I worked in for many of my classes. The lab is amazing – it has a whole wall of LEDs and an animation studio. Seeing SIG’s name on campus made me to want to learn more.
I felt that I could get a good balance of both the technology and financial worlds by joining SIG. I loved the culture, too; I could see the owners walking around the building.
When I started at SIG, there was a class once a week where we would get to learn about all the different technology groups from the team lead or head of the group. I relied on the leaders I met through those classes as access points to information to help me get up to speed in my role as quickly as possible. But this isn’t unusual at SIG. Our organizational structure is relatively flat, so I’m very comfortable going to the head of a team if I need help or guidance on a project.
The Data Engineering team is responsible for making sure the platforms we support can deliver vital information to traders and quants. I like that I get to work with a variety of technical groups, like security, systems engineering, and market data, as well as directly with the traders.
You have free reign to explore different tools. You work with some incredible technology and can get involved in both business and technology. Our environment is very casual.
I have been training for marathons for the past few years, and I do almost 100% of my training runs with my dog. I ran the Philadelphia Marathon in 2014, but I also like participating in the races and run/walks SIG sponsors.
I spend most of my mornings troubleshooting issues that might have occurred over night. I run overnight workflows that analyze daily trade data for the next day. Then I either work on getting new data into the environment or new workflows to feed into production. It requires a lot of coordination between different groups at SIG because we’re dealing with large amounts of data on a very segregated environment. My main focus is to keep everything stable and that we deliver all production data correctly and on time.
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