Top Data & Analytics Jobs
The Sr. Business Analyst will design and manage decisions in the rules engine platform, ensuring optimal decisions in customer acquisition and underwriting. Responsibilities include implementing new decisions, maintaining the rules engine, monitoring performance metrics, and conducting data analysis to optimize performance and support underwriting strategies.
The Business/Data Analyst will monitor funnel metrics and dashboards, establish performance metrics, conduct data analysis using SQL and Python, collaborate with teams for strategy changes, and communicate business recommendations to management.
The Sr. Data Scientist will build predictive models to enhance lending decisions, utilize advanced data analytics to analyze consumer risk behavior, support model implementations in collaboration with engineering teams, create technical tools for standardization, develop performance metrics and reporting dashboards, conduct A/B testing, and communicate actionable strategies to senior management.
The Credit Risk Analytics Manager will develop and manage credit risk strategies for new lending products, monitor performance metrics through automated reporting dashboards using SQL and Python, and collaborate with cross-functional teams to optimize portfolio risk. The role involves conducting analysis to evaluate performance trends and communicating actionable strategies to senior management.
The FP&A and Capital Markets Analyst will support corporate funding and liquidity activities, assist in analyzing acquisition targets, design new product models, analyze operational reporting, and provide financial support across departments.
The Jr. Data Engineer will be responsible for optimizing data systems, building tools for analytics, extending machine learning platforms, and maintaining data pipelines. They will work collaboratively with the Development team to improve data architecture to support new products and initiatives.
The Data Analyst/Data Scientist will monitor and evaluate loan performance metrics, develop automated reporting, and build predictive models. Responsibilities include conducting data analysis, collaborating with teams to implement strategies, and designing A/B tests. The role demands strong quantitative skills and the ability to present analyses to senior management.
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