At BMG Money, our mission is to provide access to affordable and responsible credit for underserved consumers facing unexpected expenses. We all share one vision— Redefining lending through technology, where underserved individuals can thrive financially through forward-thinking, responsible, and innovative financial solutions.
Requirements
- Advanced SQL proficiency (writing complex, optimized queries)
- Business Intelligence (BI) tools (e.g., Tableau, Power BI, Looker)
- Advanced Statistical and Mathematical aptitude with experience in experiment design (e.g., A/B testing)
- Advanced proficiency in Python or R and their data science ecosystems (e.g., Pandas, Scikit-learn).
- Advanced Microsoft Excel
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Foundational understanding of credit risk management
Responsibilities
- Develop, validate, and support the deployment of predictive models and machine learning algorithms, ensuring they meet rigorous standards for accuracy and business relevance.
- Collect, process, and analyze massive volumes of structured and unstructured data, providing technical expertise within key data domains.
- Design and deliver insightful dashboards, reports, and data visualizations for business, product, and technology stakeholders, clearly articulating findings and their implications.
- Proactively identify patterns, trends, and business opportunities hidden within the data, translating findings into proposed solutions and actionable analysis.
- Support other data-driven projects such as fraud detection and portfolio analysis.
- Ensure compliance with regulatory requirements and internal policies related to credit risk modeling.
- Collaborate closely with product, engineering, and business teams to integrate data-driven solutions into production systems.
Other
- Minimum of 4+ years of professional experience in data analysis, data modeling, and validation of analytical models in the financial services industry.
- Strong Critical Thinking and Analytical Skills
- Demonstrated Decision-Making Capacity
- Excellent Communication and Presentation Skills (ability to present technical findings clearly to a business audience)
- Proven ability to work effectively in a team environment and mentor peers/junior staff.
