Senior Data Developer – Multi-Strategy Hedge Fund
We are seeking a Senior Data Developer to design, build, and operate a modern data platform that powers quantitative research, trading, and risk management across multiple asset classes. This is a hands-on role at the intersection of data engineering and software development, where you will own end-to-end data pipelines, enhance the security master, and ensure the front office has the data needed to drive investment returns.
Key Responsibilities:
* Develop and maintain scalable Python-based ETL pipelines for market data ingestion and transformation.
* Build and manage cloud data lake solutions (AWS/Databricks) for structured and unstructured data.
* Implement data quality, validation, and cleansing routines to ensure accuracy of financial time-series data.
* Optimise workflows for low latency and high throughput to support research, trading, and risk functions.
* Collaborate with portfolio managers, researchers, and traders to deliver tailored data solutions.
* Contribute to security master database design and implementation.
* Analyse and extract insights from datasets to inform trading and risk decisions.
* Document system architecture, data flows, and technical solutions.
Requirements:
* Bachelor’s or higher in Computer Science, Engineering, Mathematics, Statistics, or a quantitative discipline.
* 5+ years developing Python-based financial software, with strong Pandas experience.
* Exposure to financial datasets across multiple asset classes.
* Experience supporting quantitative research and modelling.
* Proficiency in Linux environments.
* Strong foundation in mathematics and statistics.
* Detail-oriented, analytical, and able to thrive in a fast-paced environment.
* Excellent problem-solving and communication skills.
This is an opportunity to shape the data backbone of a sophisticated, multi-strategy investment operation while working at the cutting edge of quantitative finance.