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We develop cutting edge API driven banking solutions to some of the largest names.

We are
The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank’s exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis.

You will
Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives
Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities
Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms
Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities
Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency
Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights
Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices