full-time
Senior Quantitative Researcher/Scientist
Oxford Data Plan
- Employer
- Oxford Data Plan
- Location
- Indore, Madhya Pradesh, India; Chennai, Tamil Nadu, India; Dubai, Dubai, United Arab Emirates; Greater London, England, United Kingdom; London, England, United Kingdom; Manchester, England, United Kingdom; Oxford, England, United Kingdom; City of Edinburgh, Scotland, United Kingdom; Glasgow, Scotland, United Kingdom; Boston, Massachusetts, United States; Town of West Seneca, New York, United States
- Working pattern
- on-site
About the role
Lead and govern the statistical methodology behind daily KPI indices, including model specification, estimation, validation, forecasting, data treatment, revisions, and production quality assurance. Develop and implement methodological improvements in tested production-quality Python, document standards for engineering and data science teams, and mentor colleagues. Requires at least five years of relevant applied experience or a PhD, postgraduate quantitative training or equivalent experience, and demonstrated ownership of statistical methodology used in a production system. Candidates should have deep expertise in regression and time-series methods, experience with at least two specified advanced statistical approaches, strong Python and SQL skills, and the ability to communicate and lead methodological decisions.