Overview
In this role you drive data-driven insights and automation for equity trading strategies. You collaborate with traders on portfolio analysis, P&L explanations, and market data analytics to uncover correlations and improve efficiency. Your work spans large-scale data handling, cross-source data integration, and quantitative method automation to support decision-making and performance. You join a collaborative, high-growth team that shapes trading analytics in a leading financial institution.
Responsibilities
- Lead analysis of MS CRB data and market/vendor data to identify correlations and nuances
- Perform trader portfolio analysis and explain P&L movements
- Automate quantitative methods and build data pipelines across diverse data sources
- Develop scalable data handling techniques to reduce time/space complexity
- Explore large-scale data processing and advanced programming techniques
Key requirements
- Attention to detail and initiative
- Experience in mathematical/high-level programming languages (Python/R)
- Direct practical experience in equity markets within the financial sector
- Bachelor or Master in Finance, Economics or Mathematics (equivalents considered)
- Proven ability to demonstrate data analysis at scale
- Strong written and verbal communication skills
- Practical expertise in constructing data processing pipelines with diverse data sources
- Attention to detail
- Initiative
- Analytical thinking
- Python coding
- R
- Linux and shell scripting
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