We are looking for a python engineer to develop and support our global trading operations. The ideal candidate should feel comfortable interfacing with multiple teams in order to triage any potential issues. The role will involve primarily building out command and control, monitoring and alerting, as well as production workflow code on both AWS and our colocation environment. The role will also be responsible for monitoring trading systems for anomalies.
Design and implementation of automated triage and recovery systems is a major component of the role, whereby we seek to streamline various issues with our current automation and handle failures gracefully. The majority of the time will be spent planning for the future rather than fire-fighting due to the past.
Additional projects can vary in size and scope, including but not limited to automating recurring tasks as you encounter them and assisting other teams by building out trading tools that improve productivity across the board.
This role requires somebody who is reliable, has a dedication to detail, and is capable of triaging and escalating problems in a live trading environment. We are a tight-knit team and this opportunity will be both challenging and immensely rewarding, with great opportunities to learn more about trading concepts and financial markets.
Design and implement disaster recovery procedures
Design and implement automated alerting and failover
Sourcing information that may affect trading strategies
Reconciling trade differences
Bachelor's degree in Computer Science, Mathematics, or similar fields
Proficiency in python
Proficiency in AWS tooling as well as basic networking
Strong attention to detail
About Ansatz Capital
Ansatz Capital is a quant trading startup based in downtown NYC. Two of our core beliefs are that top talent is a) under-leveraged and b) under-cultivated at most companies, both trading and just in general. Many companies are mostly talk when it comes to that stuff—we actually plan and act.
It's not just about quarter to quarter performance here. Even at the small size of 10, we've made substantial investments into building a strong culture when it comes to personal development, technical development, and giving each other thoughtful and direct feedback to help one another grow. Otherwise, what's the point of having great people if you aren't learning from one another as much as possible?
Along those lines, our highly technical team has participated in International Olympiads, published in academic journals, and had successful track records at several different trading and research firms. For a lean team, we have great diversity in experience and ability, and have leveraged this to trade a variety of asset classes across a dozen exchanges using research infrastructure we built in-house. This has enabled our teammates to be more effective at creating, testing, and deploying new trading ideas than we ever knew was possible from our collective experiences.