Hedge Fund #002
Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.
Work with portfolio managers and other internal customers to reduce operational risk through:
Implementation of monitoring, reporting, and trade workflow solutions.
Implementation of automated systems and processes focused on trading and operations.
Streamlining development and deployment processes.
3+ years of development experience in Python.
Experience working in a Linux / Unix environment.
Experience working with PostgreSQL or other relational databases.
Ability to understand and discuss requirements from portfolio managers.
Preferred Skills and Experience
Experience operating and monitoring low-latency trading environments.
Familiarity with quantitative finance and electronic trading concepts.
Familiarity with financial data.
Broad understanding of equities, futures, FX, or other financial instruments.
Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#.
Experience with Apache / Confluent Kafka.
Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).
Experience with containerization and orchestration technologies.
Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.
Contributions to open-source projects.
BA/BS degree in a quantitative field. Graduate degree preferred, but not required.
Results-oriented, can deliver quality production code with quick turnaround.
Excellent listening and communication (both oral and written) skills.
Self-starter and critical thinker. Takes ownership of projects and makes suggestions for improvement of the entire infrastructure.
Proactive, assertive, and attentive to detail.
Can work independently and in a collaborative environment.
Can handle several projects with different priorities at the same time in a fast-paced environment.
Quick learner with a tenacious approach to solving problems.