C++/Python - Software Engineer , Automated Market Making

Our client is a prominent global investment bank located in the heart of midtown Manhattan. Join a high-impact, fast-paced team driving the future of electronic trading at one of the world’s leading investment banks. The AMM IT Strategists team partners directly with trading desks to build ultra-low latency tools and strategies that respond to real-time market data, generate trading signals, and optimize execution performance. As part of this elite group, you’ll design, build, and refine the core infrastructure of our AMM platform—enabling traders to backtest strategies, monitor live systems, and minimize risk with precision. This is a hands-on role that places you at the intersection of finance, algorithms, and performance engineering. Why This Role Excites You Build What Matters: Your work will directly impact P&L and trading outcomes. Collaborate with the Best: Work closely with traders, quants, and other engineers in an environment where technical excellence and innovation drive success. Work on the Edge: Dive into performance optimization, low-latency systems, and high-throughput infrastructure. Broad Exposure: From market access and compliance to operations and risk monitoring—this role touches it all. What You’ll Do Design & Development Collaborate with traders and quantitative researchers to understand new ideas and translate them into production-ready tools. Enhance trading algorithms and core components for performance, stability, and compliance (e.g. RegNMS, RegSHO). Optimize multi-threaded, real-time applications to reduce latency and improve throughput. Production Support Ensure platform reliability through proactive monitoring and automation. Troubleshoot and resolve issues quickly in a high-pressure, high-stakes environment. Interface with infrastructure, market access, operations, and compliance teams to keep the entire trading ecosystem humming. Requirements Bachelor's in Computer Science or related field. 0–5 years of experience in a similar high-performance or real-time systems environment. Proficient in C/C++ with strong object-oriented programming skills. Solid understanding of Linux internals, multi-threading, and real-time systems. Familiarity with network protocols (TCP/IP, sockets, UM). Experience with SQL (Oracle PL/SQL) and scripting languages (Python, Bash, csh). Excellent troubleshooting skills and ability to think clearly under pressure. Preferred Extras Master’s degree or advanced coursework in CS, Engineering, or Quantitative disciplines. Exposure to financial markets, quantitative trading, or related regulations. Experience with: Low-latency or distributed systems. DevOps tooling: Jenkins, Gradle, Git, JUnit. NoSQL databases (Redis, Memcache). UI development (Java Swing, QT). Performance profiling and continuous delivery pipelines.