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.
