Why This Role Stands Out
This hybrid role offers significant autonomy and the chance to tackle complex analytical challenges, perfect for a mid-senior quantitative analyst eager to develop advanced modeling and data interpretation skills. You'll leverage your expertise in Python/R and Bayesian methods to drive impactful insights within a reputable organization, with a competitive salary and benefits package. Embrace this opportunity to grow your career and contribute meaningfully to challenging research questions.
Quick Overview
Job Description
Experienced Quantitative Analyst required for an organisation based in central Scotland.
You'll provide quantitative research and analysis across a varied range of complex questions, using data to identify trends, differences and potential future trends and outcomes.
You'll use a range of statistical techniques to investigate complex datasets and answer challenging research questions. This could include building models to understand and predict outcomes, applying Bayesian methods, testing statistical assumptions, identifying patterns and analysing how results change over time. You'll often be working with data from multiple sources, so experience handling large, messy or incomplete datasets, alongside an understanding of uncertainty and potential bias, is important.
You'll have significant autonomy as an individual contributor, taking unclear questions, determining the appropriate data and analytical approach, and communicating findings clearly to non-technical stakeholders.
Key skills:
Strong quantitative and statistical analysis experience
Bayesian modelling and statistical validation
Python or R
Predictive modelling, forecasting and segmentation
Experience working with large, complex datasets
Ability to work with incomplete information and datasets
Salary: Up to 75k + strong benefits Hybrid Central Scotland
Cathcart Technology is acting as an Employment Agency in relation to this vacancy.
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