The Role
We are seeking a talented individual to join our Data Science and Development team. The team is responsible for supporting our investment process through the development of analytical tools and research into strategy ideas. The ideal candidate is pragmatic and passionate about the application of data science methodologies to finance and thrives in a small collaborative environment.
Responsibilities:
· Support the research, development, and maintenance of quantitative and discretionary trading strategies.
· Collect, clean, validate, and maintain financial, market, and alternative datasets
· Build and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data.
· Assist in exploratory data analysis to identify patterns, signals, and anomalies in market data.
· Implement research ideas into production-quality code the under guidance of senior team members.
· Develop and maintain back testing and performance analysis tools.
· Monitor data quality, model outputs, and trading systems; investigate and resolve issues as they arise.
· Create tools and dashboards to support portfolio managers, traders, and researchers.
· Optimize existing code for reliability, performance, and scalability.
· Document code, data processes, and research methodologies to ensure transparency and reproducibility.
· Contribute to risk analysis, reporting, and post-trade analytics.
· Assist with integrating third-party data vendors, APIs, and execution systems.
· Stay current with relevant developments in data science, quantitative finance, and financial markets
The ideal candidate:
· 2+ years exp in data science, quantitative research, or related discipline
· Advanced knowledge of Python, SQL, or other programming languages
· Proven experience in conducting quantitative analysis
· Knowledge of financial asset classes such as equity, futures, and fixed Income
· Attention to detail and strong communication skills
· Master’s or PhD degree in a quantitative field such as data science, statistics, computer science or financial engineering
· Experience in designing, building and testing systematic signals would be a bonus.