Job description

We are seeking a seasoned data scientist professional with expertise in analytics and statistical modelling. As the Data Scientist, you will play a crucial role in developing modelling area in the bank.

Key Responsibilities:

  • Collect and analyze data from various sources, including internal systems, Credit Bureaus, to identify trends, patterns, and opportunities and propose changes in credit policy or marketing activities.
  • Develop and maintain statistical and Machine Learning models e. g. scorecards for various areas (credit risk, marketing, operations).
  • Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
  • Collaborate with teams within decision and analytics area and other ones in different geographical locations.
  • Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations

Qualifications & Experience:

  • Bachelor's degree in a relevant field such as Mathematics, Statistics, Economics, Quantitative Methods, Computer Science or Engineering. A Master's degree is preferred.
  • Minimum of 2 years of experience in analytics or a data science field.
  • Proficiency in data modelling methodologies and statistical analysis techniques.
  • Market knowledge from German, Spanish and UK market will be a plus.
  • Advanced knowledge of programming languages such as Python or R is preferred.
  • Excellent knowledge of SQL for data extraction and manipulation.
  • Experience in predictive modelling using logistic regression or/and XGBoost.
  • Excellent analytical and problem-solving skills, with a strong attention to detail. Algorithmic and creative approach to solving problems.
  • Proven track record of delivering impactful insights and recommendations based on data analysis.
  • Fluent English to be able to collaborate with colleagues from other countries.
  • Good communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
  • Ability to work effectively in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.

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