Graduate Financial Modelling Analyst - (Mathematics Statistics)

This post represents an exciting opportunity to contribute to the development of analytical strategy and modelling capability within high perfoming financial analytics team.

The business is looking at exceptional level analytical graduates, whom have excelled academically within Mathematical Sciences, Statistics, Operational Research or Economics (or equivalent). Any commercial experience through a placement year or post university in a data/analytical driven post will be highly advantages.

Responsibilities:

• Utilise data analysis and data mining techniques to help the business understand customer intelligence, credit risk and price propositioning
• Specifying, implementing and maintaining databases in support of the statistical model development and monitoring.
• Performing detailed and well documented analysis to support the development of the models.
• Apply Mathematical Modelling and Statistical analysis to segment customer groups accordingly
• Contribute to highly analytical scenario modelling to drive gross margin performance
• Support the business analytically on monthly performance reporting
• Communicate complex MI to a non-statistical audience, present conclusions from analysis to enhance decision making with stakeholders

Requirements:

• Degree qualification in Mathematics or Statistics (2;1 or above from a leading University)
• Further MSc in related discipline advantageous (desirable)
• Exceptional attention to detail with analytical mind-set
• Good knowledge and understanding of general statistical modelling (Logistic and Linear Regression, Scorecard development, Reject Inference) and related stats (Gini, information value, K statistic, R squared, population stability etc.).
• Team player, evidence of working in a fast-paced team environment whilst also demonstrating high levels of initiative
• Sound knowledge of MS Excel, demonstrating the ability to manage, manipulate, interrogate and report on complex data
• Further knowledge / experience of data analysis tools and technologies (i.e. VBA, SPSS, SAS, R, Python) - beneficial

- Hybrid working (2 days onsite per week - Birmingham office)

- £25,000 - £29,000 starting salary + benefits (PRP, pension, 25 days holiday, life assurance etc.)

- Structured training & development opportunities (internal & external)