PROJECT DESCRIPTION

Building a trading platform for innovative international top-tier hedge fund from the ground up, comprising of front-office system for traders, pre-trade checks and analysis, intra-day positions management, order management and routing, risks and limits management, reports of trading activities, FIX connectivity, market data providers connectivity (e.g. Bloomberg B-pipe).

SKILLS

Must have
Bachelors or Masters degree from a well-regarded CS, Math, Physics or Finance program
Experience in Hedge Fund or Broker companies
Strong Java skills
Spring Boot, REST, JDBC, Multi-threading, memory management
Experience working with streaming data using Kafka or other messaging queue platforms.
Basic database and SQL skills
Ability to understand and write complex SQL, MySQL, MEMSQL / Singlestore database experience is a plus
Understanding of Data Structures/Algorithms and enthusiasm for programming
Experience working with large and complex data sets
Linux/Docker skills
Experience with AWS
CI/CD
Nice to have
Professional experience with investment banking, trading, equity trading platforms or any other financial products.
Experience with FIX protocol and any FIX Engine (Quickfix, Appia etc.) a big plus.
Experience in Python is a plus
Experience with BPIPE API from Bloomberg
Experience with JS/TypeScript
Can work independently and in a collaborative environment.
Excellent self-management and problem-solving skills.

Partner with the firm’s investment and trading teams to translate their requirements into technology solutions
building tools, models, analytical libraries, and processes to facilitate their research, trading and analysis.
Collaborate with the broader technology team to develop a unified, scalable platform for harnessing real-time and historical market data and analytics.
Work as a full-stack technologist, build front-to-back solutions that leverage the firm’s data platforms, microservices architecture, UI frameworks, and DevOps toolchain.