Building scalable APIs and orchestration frameworks for systematic investment platforms at global quantitative manager. Strong computer science foundations and interest in high-performance distributed systems required. Work-life balance initiatives, 30 days vacation.
Requirements
Strong computer science foundations
Interest in software, infrastructure, or data engineering
Interest in high performance distributed systems
Excellent communication and analytical skills
Drive for autonomy and fast-paced work
Structured approach to problem-solving
Knowledge of SQL or NoSQL databases
Experience in front-end development
Interest in financial markets or algorithmic trading
Tasks
Develop and optimize quantitative research platforms
Build scalable APIs and data pipelines
Create orchestration frameworks and shared infrastructure
Collaborate with researchers to standardize innovation environments
Design internal tools for traders and researchers
Streamline workflows and improve data accessibility
Support real-time front-office decision-making
Deliver intuitive solutions through interactive user collaboration
Build tools and dashboards for risk monitoring
Enable performance evaluation and investment oversight
Combine data processing with scalable infrastructure
Integrate applied machine learning for deeper insights
EducationMore information about education requirement
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
PythonSQLNoSQL
Benefits
Family Support
•Work-life balance initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Building scalable APIs and orchestration frameworks for systematic investment platforms at global quantitative manager. Strong computer science foundations and interest in high-performance distributed systems required. Work-life balance initiatives, 30 days vacation.
Requirements
Strong computer science foundations
Interest in software, infrastructure, or data engineering
Interest in high performance distributed systems
Excellent communication and analytical skills
Drive for autonomy and fast-paced work
Structured approach to problem-solving
Knowledge of SQL or NoSQL databases
Experience in front-end development
Interest in financial markets or algorithmic trading
Tasks
Develop and optimize quantitative research platforms
Build scalable APIs and data pipelines
Create orchestration frameworks and shared infrastructure
Collaborate with researchers to standardize innovation environments
Design internal tools for traders and researchers
Streamline workflows and improve data accessibility
Support real-time front-office decision-making
Deliver intuitive solutions through interactive user collaboration
Build tools and dashboards for risk monitoring
Enable performance evaluation and investment oversight
Combine data processing with scalable infrastructure
Integrate applied machine learning for deeper insights
EducationMore information about education requirement
Currently in higher education
Languages
English – Business Fluent
Tools & Technologies
PythonSQLNoSQL
Benefits
Family Support
•Work-life balance initiatives
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Qube Research & Technologies and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Qube Research & Technologies
For Employers
Industry
FinancialServices
Description
The company is a global quantitative and systematic investment manager, implementing a scientific approach to investing.