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US Bank Data Scientist Manager Credit Risk Category 
Poland 
540506580

19.11.2024

Key Activities

  • Recruiting, hiring, and training new team members; conducting regular performance reviews and providing constructive feedback.

  • Overseeing the quarterly model monitoring process to assess the ongoing performance of predictive models and generate reports and dashboards to communicate results.

  • Reviewing and validating the team’s output to maintain high standards and alignment with internal and external requirements.

  • Identifying opportunities for streamlining and automating processes for data capture, quantitative testing, documentation, and visualization.

  • Collaborating with model development and implementation teams to execute common goals and maintain alignment in processes.

  • Mentoring and fostering an environment of continued learning and development for the team members.

  • Exploring the use of machine learning and AI to improve process efficiency.

Basic Qualifications

  • Bachelor’s Degree or higher in a quantitative field such as computer science, data science, mathematics, or statistics (Masters preferred);

  • 6 or more years of experience in a data analytics, software development, or related role;

  • Industry experience in banking or financial services;

  • Demonstrated success building and leading teams of data scientists or analysts in similarly technical fields;

  • Programming experience in Python (pandas, NumPy, scikit-learn), SAS, R or similar statistical packages;

  • Strong analytical, organizational, problem-solving, and project management skills;

  • Effective interpersonal, verbal, and written communication skills.

Preferred Skills

  • Data visualization dashboard technologies such as PowerBI and Tableau

  • Automation using Bash/shell scripting

  • Microsoft Power Automate / Power Apps

  • Predictive model monitoring, implementation, validation and/or development

  • Machine learning algorithms

  • Git version control

This position is not eligible for visa sponsorship.