Statistical Model Developer

  • Job Reference: R-00132705
  • Date Posted: 24 September 2021
  • Employer: RBS
  • Website: http://www.jobs.rbs.com
  • Location: Warszawa
  • Salary: On Application
  • Sector: Accounting, Banking & Financial Services
  • Job Type: Full Time

Job Description

Join us as a Statistical Model Developer

  • We’ll look to you to maintain econometric models across all our businesses and products
  • You’ll be supporting the design, build, documentation, validation, implementation and back testing of robust statistical, balance and PBIL models
  • This is an opportunity to gain exposure as you work with the front office and functional experts to ensure high levels of business engagement at all stages in the model development process

What you'll do

As a Statistical Model Developer, you’ll be efficiently delivering financial forecasts using the models in all of our planning processes, including the budget, the internal and external stress testing processes, balance sheet optimisation, and reverse stress testing.

In addition, you’ll be:

  • Developing regression-based statistical models covering the bank’s balance sheet, customer rates, non-interest income and non-interest expenses
  • Working with expert panel members to identify the appropriate portfolio segmentation, relevant macroeconomic drivers affecting the business and final model selection
  • Developing relationships across the bank, collaborating with various stakeholders

The skills you'll need

To succeed in this role, you’ll need experience of working on model development, in a banking or financial services environment. You’ll also be educated to a degree level in a numerate or analytical discipline such as mathematics, statistics, or sciences.

In addition, you’ll demonstrate:

  • A track record delivering success in roles with an analytical or statistical aspect
  • The ability to create time series regression-based statistical models, including model backtesting
  • Experience of extracting and reconciling historical time-series data from various internal systems, ideally with experience of SQL, SAS 4GL or PySpark
  • Basic knowledge of at least one of the widely used statistical programming languages, ideally R, Python or E-views
  • A basic understanding of macro-economic trends, conditions and developments and knowledge of retail and commercial banking products