Design and build scalable data and analytics systems
Quantitative analysis and financial modelling
Robust data pipelines and computational frameworks
Design and build scalable data and analytics systems that power investment decision-making, portfolio monitoring, and asset-backed investment decisions
Job Summary
Design and build scalable data and analytics systems that power investment decision-making, portfolio monitoring, and asset-backed investment decisions.
Develop robust data platforms and analytical tools that enable complex modelling, structured credit analysis, forecasting, and performance analytics.
Contribute to engineering standards, best practices, and long-term architectural direction, reducing reliance on external vendors.
Matching Summary
Design and build scalable data and analytics systems that power investment decision-making, portfolio monitoring, and asset-backed investment decisions.
Skills & Requirements
Must-have
design and build scalable data and analytics systems
quantitative analysis and financial modelling
robust data pipelines and computational frameworks
Python and SQL programming skills
modern data environments (e.g., Snowflake)
cloud architecture and containerization
Nice-to-have
intellectual curiosity
problem-solving ability
collaboration with investment professionals
long-term, high-impact systems
familiarity with visualization tools
experience with structured credit analytics tools
Key Requirements
8+ years of experience in software engineering, quantitative development, data engineering, or applied data science
Experience with distributed computing frameworks (e.g., Spark)
Hands-on experience building data pipelines using orchestration frameworks (e.g., dbt, Dagster)