Graduate Modelling Analyst
23 hours ago
This is a unique opportunity for a talented and enthusiastic STEM graduate to join a high performing decision science focused on solving complex problems whilst optimising commercial performance using advanced analytics, machine learning and statisticalreasoning.
The role offers an exciting blend of hands on modelling and analytical design, supporting technical research and the development of complex predictive analysis, capabilities, tools, and methodologies. As part of the central analytics team, you will alsobe required to support the business with other BAU
data, reporting & and statistical analysis tasks.
You will develop the ability to find solutions and make recommendations on risk-based scenarios whilst producing statistical models to emulate market factors that influence profitability.
The existing team are part of a rotation programme and get opportunities to understand and develop a range of complex models and analytical work (including propensity & predictive modelling, general linear modelling, behavioural modelling etc.).
What are we looking for?
- Degree level or above in Mathematics, Statistical Science, Computer Science or Actuarial Studies
- Ideally 12 months + commercial experience within a relevant data science or statistically orientated role (Actuarial, Data Science, Pricing, Credit Risk, Commercial Analytics etc.) - exceptional recent graduates will be considered
- Strong analysis and problem-solving skills, with a willingness to learn and develop
- Good working knowledge of Excel and an understand of SQL
- Excellent grasp of statistical methodology (i.e., linear regression, logic regression)
- Coding / P
- rogramming skills from R, VBA, Python,
- of advanced ML concepts (passionate about developing further)
The role is based in the West Midlands (Solihull) - it’s hybrid with expectation of 2 day per week in the office (flexible).
*Please note that at this the business are unable to provide UK visa sponsorship*
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