Radley James · 1 week ago
Senior Data Scientist - Systematic Trading
Radley James is a top quantitative proprietary trading firm looking to hire a talented Data Scientist for their systematic trading teams. The role involves working with large datasets in collaboration with Quant Researchers, Engineers, and Traders to optimize trading strategies and improve data quality and accessibility.
Responsibilities
Perform exploratory, detailed, and statistical data analysis to provide insights and quality checks into the datasets
Build data pipelines, design validation metrics, and own the correctness and maintenance of the datasets
Develop derived datasets with relevant metrics and integrate datasets for downstream applications such as alpha generation, back-tests, and production trading systems
Engage with quant researchers in trading desks and engineers in central data teams to understand the characteristics of the datasets
Contribute to the improvement and innovation of trading strategies by providing critical data insights
Ensure that data handling processes are flawless and strictly follow industry standard methodology
Successfully implement solutions that improve data quality and accessibility for the entire organization
Qualification
Required
A Masters or PhD in Computer Science, Data Science, Maths or Ops Research
4-8 years of industry experience
Expertise in writing robust production code in Python for data tasks with proficiency in object-oriented design and emphasis on testing and monitoring
Strong knowledge of financial market data
Experience in wrangling and manipulating large-scale data efficiently with pandas or numpy, and adept at addressing data issues
A proven commercial approach and enthusiasm for collaborating directly with quants and risk managers
Company
Radley James
Radley James is a platform for career management that connects candidates and companies with job offers and vacancies.
Funding
Current Stage
Growth StageCompany data provided by crunchbase