Daniel Rosales Email & Phone Number

Chicago, Illinois, United States

Oakland, California, Us

• Manage, direct, and perform data analyses to develop and refine financial model assumptions, credit, and collections strategies.• Develop and improve reporting tools that demonstrate performance trends and monitor risk indicators.• Leverage deep analysis of our portfolio to create forward-facing, data-driven risk management strategies.• Communicate analytics findings to multiple and varied audiences - including executive leadership - and advocate strategies to address business problems.• Collaborate with other analytical and engineering teams to recommend improvements to Mosaic's data infrastructure and management processes. • Work with internal and external teams to undersand and communicate asset performance to the investor community.• Develop, manage, maintain, and negotiate contracts/relationships with new/existing vendors.• Assess market and industry trends, identify potential macroeconomic risks, and evaluate their implications for our business.

Greenwood Village, Co, Us

• Research and contribute to credit spread and transition matrix submodels for economic capital • Act as a subject matter expert by presenting results, findings, conclusions, and recommendations to internal and external stakeholders • Reduce number of steps to complete quarterly reporting (results of credit risk model) by 89% and completion time by 79%• Document credit risk model, including submodels, while making enhancements and corrections• Convert model results deliverable from PDF to HTML format with interactive charts and tables• Automate data quality checks, thereby making the process 70% faster • Work on consulting projects for other teams

Atlanta, Georgia, Us

• Clean and prep transactional data to develop k-means clusters that resulted in expected counterfeit savings of $300k per quarter• Improve the hit rate on a fraud model by 25% by building a decision tree-based model• Develop ETL for data sources for use in marketing campaigns and sales initiatives • Create report with KPIs and quality control charts used to detect mass fraud• Design and conduct experiments to determine if large credit limit increases cause customers to spend more

London, Gb

• Built regression-based custom algorithm to increase the coverage of one of our products from 5% to 90%• Build tools to empower analysts to make ad-hoc analyses and valuations• Lead researcher aimed to create new intelligence products• Work with cross-functional teams to monitor, optimize, and improve data quality and models• Review the work of junior analysts and provide feedback on their application of analytical techniques• Provide consulting services for large-scale custom analytics projects

Bloomington, Illinois, Us

• Developed a 22% better price to risk model for auto telematics data using gradient boosting • Efficiently used resources using Hadoop and Cloudera to create gradient boosted models• Led actuarial interns to complete a group project that evaluated a mobile telematics app• Successfully presented research to technical and non-technical audiences

Master’S Degree, Applied Statistics

Bachelor’S Degree, Bachelor Of Arts: Math Education