reports that track key marketing KPIs (CAC, LTV, churn, conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. … experience: Proven experience in Marketing Analytics, or a similar analytical role. Strong proficiency in SQL for data extraction and manipulation. Solid experience with Python or R for advanced analytics, statistical analysis, and modelling. Hands-on experience with marketing performance tracking, ROI analysis, and attribution methodologies. Experience managing - This role will include 3 direct reports. Experience working in a fast More ❯
for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data modelling, ETL development, and data warehousing Knowledge of data management fundamentals and data storage principles Familiarity with statistical models or data mining algorithms and practical experience applying these to More ❯
experience in quant/systematic trading firm Expertise in alpha research, portfolio construction, risk management, optimisatizion and execution A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques A MSc/PhD from a top-tier university Strong programming skills in Python or C++ More ❯
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯
