Quantitative Research Analyst - Hybrid Impact Role

Cathcart Associates Group Ltd; City of Edinburgh; On-site; GBP 45,000 - 75,000; Full time

Benefits offered by this job

Generous holidays

Employer pension contribution

Job summary

Cathcart Associates Group Ltd in Edinburgh is seeking a Quantitative Research Analyst to help build a new Insight function focused on producing strong quantitative evidence to inform strategy and improve outcomes for people and communities.

You will develop predictive models, apply Bayesian methods, and analyse time-series data using Python or R and SQL, translating complex findings for non-technical colleagues in a hybrid, 4-days-in-office arrangement.

Qualifications

• Strong quantitative and statistical thinking with ability to work in ambiguity.
• Experience with predictive modelling and forecasting.
• Experience with Bayesian methods and statistical validation.

Responsibilities

• Develop predictive models and forecasts to identify future outcomes and trends
• Apply Bayesian modelling, uncertainty estimation and statistical validation
• Carry out segmentation and longitudinal analyses
• Analyse large, complex datasets from multiple sources
• Translate findings for non-technical stakeholders
• Work independently on ambiguous questions and determine analytical approaches

Skills

Predictive modelling

Bayesian modelling

Time-series analysis

Python

R

SQL

Data interpretation

Stakeholder communication

Job description

Cathcart Associates Group Ltd in Edinburgh is seeking a Quantitative Research Analyst to help build a new Insight function focused on producing strong quantitative evidence to inform strategy and improve outcomes for people and communities.

You will develop predictive models, apply Bayesian methods, and analyse time-series data using Python or R and SQL, translating complex findings for non-technical colleagues in a hybrid, 4-days-in-office arrangement.