Java Engineer - Systematic Portfolio Technology

Overview

The SPEED MFT Order Entry team seeks a software engineer to design and implement distributed latencysensitive Java systems. This role involves building and maintaining highperformance infrastructure to support systematic quantitative trading.

Job Description Summary

Responsible for Systematic Portfolio technology the area includes both infrastructure and application development pertaining to realtime intraday latency sensitive and nonlatency sensitive OMS trading and nonlatency sensitive APIs and services as well as trading monitoring and support functions.

Principal Responsibilities

• Collaborating with hardware and software developers across divisions to build realtime order entry processing and distribution systems

• Contributing towards the teams technical direction by driving new initiatives

• Developing and optimizing largescale parallel computation problems that requires large quantities of data shared across resources

• Define processes and standards to be followed globally by the area

• Define implement and enforce SLAs SLOs policies metrics and KPIs to proactively monitor the area

• Developing systems interfaces and tools for trading simulations that increase research productivity

• Optimizing this platform by using network and systems programming as well as other advanced techniques to minimize latency

• Helping build and maintain our automated test and benchmark framework riskmanagement performancetracking and other tools

• Testing implementing and benchmarking different OMS systems brokers and exchanges (internal and external) on different hardware offerings and settings

• Working closely with trading teams to gather requirements and develop solutions in a fastpaced environment

• Working with development and support teams to adapt to exchange technical upgrades

Qualifications/Skills Required

• Strong understanding of lowlatency and realtime system design and implementation in Java specifically

• Strong financial experience across multiple asset classes

• Deep understanding of memory management garbage collection

• Significant experience with profiling and optimizing Java applications

• Academic or professional experience using AI engineering techniques to create software and systems

• Expertise in Linux system internals and networking

• Strong understanding of data structures algorithms objectoriented programming and excellent analytical abilities

• Deep understanding of concurrency and multicore programming

• Excellent knowledge of testing framework including JUnit Mockito Cucumber

• Experience building highperformance easily scalable distributed systems

• Deep knowledge of modern computer architectures (for example NUMA)

• Strong understanding of multiple trading venue DMA binary protocols and unique behaviors (for both Market Data and Order Entry with a focus on Order Entry)

• Able to prioritize in a fast moving high pressure constantly changing environment; Good sense of urgency and ownership

• Believer and practitioner of transparency and accountability

• Effective communication and relationship management skills (client and vendor): The candidate will be expected to work closely with business and technology users to understand their current and future needs

• BA/BS degree in Computer Science or equivalent (MS preferred)

Desired

• Experience or working knowledge of C

• Experience or working knowledge of Python

• Experience with OMS and overall pipelines

• Shell scripting

• Experience building noGC Java applications and high performance JVMs like Zing

• Experience with (or willingness to learn) JavaScript

• Knowledge of cloud computing (AWS GCP)

• Knowledge of Kafka Spring Boot Junit

• Knowledge of containers (Docker Podman)

• Have a good understanding of algo backtesting facilities

• Previous experience with alpha strategies is a big plus

• General market knowledge of equities options SOR VWAP and alpha generating strategies is desired

Join us to shape the future of systematic quantitative trading and solve significant engineering challenges.