YOUR IMPACT
As a member of the team, you will play an integral role on the trading floor. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring trading risks for systems and strategies used by our clients.
OUR IMPACT
Controls engineering is responsible for building the next generation firm-wide control plane for our front office desks. The successful candidate will use their deep technical skills to inform the implementation of a highly scalable message driven architecture, processing ~3bn messages per day and making 'safe to trade' determinations in real time. The role will also involve building out web applications that allow users to register, develop and administer controls on the platform.
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HOW YOU WILL FULFILL YOUR POTENTIAL
RESPONSIBILITIES
Lead a team of engineers in designing, building and maintaining a high-performance, high-availability, high-capacity, yet nimble and adaptive platform for front to back trading systems like order management, exchange connectivity, smart order routing, internalization, clearing and securities lending.
- Use data to guide decision-making, developing or enhancing tools as necessary to collect it.
- Understand market rules, regulations, exchange service offerings, front to back business functions and build systems to facilitate them.
- Communication with traders, sales, clients and compliance officers about new systems, feature requests, explanation of existing features etc.
SKILLS AND EXPERIENCE WE ARE LOOKING FOR
BASIC QUALIFICATIONS
- Bachelors or Masters degree in computer science or engineering or equivalent experience
- Hands-on Java engineering with 5+ years of experience in developing Java systems.
- Proven track record of leading a team and delivering projects with a commercial mindset.
- Prior experience with Event Sourcing (Kafka, Akka, Spark) and Data Distribution based architecture
- Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions.
- Strong knowledge of data structures, algorithms, and design patterns
- Experience in data driven performance analysis and optimizations.
- Strong communication skills and the ability to work in a team.
- Strong analytical and problem-solving skills.
PREFERRED QUALIFICATIONS
- Experience with Kubernetes deployment architectures
- Apache NiFi experience
- Experience building trading controls within an investment bank
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