Data Insights Manager

hace 6 días


Málaga, Málaga, España Tf Bank Ab A tiempo completo

About the Role

We are seeking an experienced and skilled Data Insights Manager to lead our team of analysts and drive impactful, data-driven solutions within our organization.

Key Responsibilities

  • Lead and manage a team of analysts, providing guidance, direction, and support in their day-to-day activities.
  • Collect and analyze data from various sources, including internal systems and credit bureaus, to identify trends, patterns, and opportunities.
  • Collaborate with other analytical teams across the European organization.
  • Analyze and make recommendations that help the development of credit policy, scorecards, and limit management strategies for credit cards.
  • Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
  • Develop and maintain statistical models (e.g., scorecards) for credit risk area.
  • Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.

Qualifications and Experience

  • Master's degree in a relevant field such as mathematics, statistics, economics, quantitative methods, computer science, or engineering.
  • Minimum 5 years of experience in analytics or a data science field.
  • Experience in the banking sector, especially in consumer finance credit risk area.
  • Proven track record of delivering impactful insights and recommendations based on data analysis.
  • Proficiency in data modeling methodologies and statistical analysis techniques.
  • Experience in predictive modeling using logistic regression is required.
  • Excellent knowledge of SQL for data extraction and manipulation.
  • Knowledge of programming languages such as Python or R is preferred.
  • Fluent English to collaborate with colleagues from other countries.
  • Practical knowledge from the Spanish or Italian markets will be a plus.
  • Excellent analytical and problem-solving skills, with a strong attention to detail.
  • Algorithmic and creative approach to solving problems.
  • Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
  • Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.

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