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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
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