Overall a great company
Overall a great company
- Good work environment
- Overall people are friendly & smart
- Challenging and interesting work
- Huge technical debt on core engineering side.
- Bad work/life balance (7:30 am to 6:30pm + evening meetings)- You have to end up in the good teams to be considered (some trading teams)- Lots of politics & work priority scheduling starting 2019 which is slowly down lots of projects.
Find a better balance between tech debt and new features. Many framework/products are undocumented or very poorly documented. So with the turn over many products decay over time and are poorly supported by core-engineering.
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Tower Research Capital Interview Experiences
Software Engineer
It's difficult. There are 4 rounds: technical chit-chat -> online test -> onsite technical test -> interview with the director. They just ask you everything from computer architecture to algorithms complexity.
Software Engineer
HackerRank was relatively easy as compared to tests from other HFT firms. Completed it with little challenge (unfortunately HackerRank does not tell you the accuracy so be very careful!). Had brief chat with HR thereafter to discuss role, team, and b
Software Engineer
There were Python questions to parse and work with sample data sets. There were questions about your background and projects you might have worked on. There was a lot of emphasis on producing efficient code.
Software Engineer
Singapore, SingaporeMarch 1, 2022It's difficult. There are 4 rounds: technical chit-chat -> online test -> onsite technical test -> interview with the director. They just ask you everything from computer architecture to algorithms complexity.
Software Engineer
SingaporeMarch 10, 2024HackerRank was relatively easy as compared to tests from other HFT firms. Completed it with little challenge (unfortunately HackerRank does not tell you the accuracy so be very careful!). Had brief chat with HR thereafter to discuss role, team, and b
Software Engineer
Singapore, SingaporeAugust 7, 2024There were Python questions to parse and work with sample data sets. There were questions about your background and projects you might have worked on. There was a lot of emphasis on producing efficient code.
