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Systematic Data Engineer
4 tygodni temu
technologies-expected :
Python
technologies-optional :
PostgreSQL
Microsoft SQL Server
Redshift
Snowflake
KDB
OneTick
Java
C#
AWS
Google Cloud Platform
Airflow
Kubernetes
Docker
Microsoft Azure
about-project :
We are seeking a Systematic Data Engineer for Balyasny Asset Management (B.A.M.) who is a global institutional investment firm that is opening its first office in Poland, precisely in Warsaw.
Operating at the intersection of finance and technology, they combine deep industry knowledge with software engineering and quantitative research to seek out new investment opportunities, analyze market conditions, minimize risk and provide superior service to investment partners.
responsibilities :
Support the rapidly growing systematic trading business. Data is the lifeblood of systematic trading and the capabilities we deliver are critical to the success and scalability of the business
Responsible for the design, implementation, and maintenance of cloud-native (AWS), high-performance data acquisition, storage, and retrieval systems/APIs (including real-time data). The platform must also ensure the quality and availability of our data historically and ongoin
Working directly with systematic alpha research teams to on-board and profile new datasets into the platform and support research projects
requirements-expected :
Degree in Computer Science or a related field with computational focus
3-5 years of hands-on development experience building and supporting production systems
Highly skilled in Python, comfortable with different programming styles (e.g. OO, functional) and strong on design patterns
Understanding of system architecture and the full technology stack (software, OS, CPU/memory, local/network storage, networking, etc)
Proponent of collaborative software development approaches: version control, CI/CD, automated testing, code review, refactoring, and related approaches
Craftsman-like approach to building software, taking pride in clean and efficient code
Experience with one or more relevant database technologies (e.g. Postgres/MSSQL, Redshift/Snowflake, KDB/OneTick)
Linux platforms and related scripting
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