Senior Quantitative Researcher/Scientist
Core
Develop and govern statistical methodology for daily KPI indices and alternative-data-driven performance estimates, transforming complex data into robust, validated estimates for trusted research and decision-making.
Role type
Senior IC quantitative researcher (statistical methodology & production engineering)
Builds
Hundreds of daily published indices and alternative-data performance estimates (via careerplan.io/jobs/1fc827bf-bc43-4881-b3e0-5ada210850ca-senior-quantitative-researcherscientist-at-jobgether)
Domain
Finance / Quantitative Research / Alternative Data
Deliverable
production ML models
Required skills
advanced statistical modelling, time-series forecasting, Bayesian/hierarchical modelling, Python (statsmodels, SciPy, pandas, NumPy), SQL, uncertainty quantification, data quality assurance, model lifecycle governance, regression modelling, sampling and panel methodology
Preferred skills
alternative data experience, nowcasting, KPI/revenue estimation, time-series uncertainty quantification, index construction methodologies, state-space models, forecast reconciliation
Responsibilities
Lead statistical methodology for index production end-to-end (specification, estimation, validation, forecasting, governance); Develop methodological improvements to enhance model quality and predictive performance; Own adjustment and drift-control methodology; Define statistical treatment of panel and source data; Establish standards for the complete model lifecycle; Own revision methodology for published series; Define statistical logic for production quality assurance; Implement statistical methodology as tested, production-quality Python; Deliver training and mentor data scientists to raise statistical standards
Seniority
Senior, hands-on IC with mentorship responsibilities
