We are looking for a software engineer to join a lean and technical quantitative trading startup. You’ll be responsible for developing and maintaining scalable trading applications and infrastructure for many financial markets and assist with developing the full stack of infrastructure to support trading operations.  The role is fast paced, with daily or even more frequent release cycles, and requires a good sense of prioritization between longer and shorter term needs.

Within our systems, from hardware drivers to TCP/multicast handlers to Python interfaces, each layer requires custom optimization for latency, bandwidth, or both. An understanding of trade-offs in terms of clock cycles and CPU cache effects is a must.  Multi-core/multi-threaded communications using lock-free algorithms will be employed to increase the theoretical computational limit per unit time; consequently, the candidate should have a good grasp of run-time behavior, serialization delays, and asymptotic behavior in this environment. Compensation consists of base salary, discretionary performance bonus, and possible participation in longer-term incentive schemes.