Top Data & Analytics Jobs
As a Senior Analyst in Sales Operations, you will partner with sales leadership to shape strategies, manage pipeline processes, collaborate cross-functionally, develop reporting frameworks, coordinate with vendors, ensure data integrity, and optimize workflows to drive revenue growth.
The Data Manager in Risk Engineering & AI focuses on developing data-intensive solutions for decision making within the risk management function. Responsibilities include data acquisition, pipeline development, transformation, modeling, API development, collaboration with AI/ML teams, and ensuring data quality and governance.
As a Data Manager in Risk Engineering & AI, you will develop data-intensive solutions that drive decision-making for risk management. Your duties include data acquisition, pipeline development, transformation, and API creation while collaborating with AI/ML teams to ensure data quality and implement best practices in data governance.
The Senior RCSA Analyst is responsible for investigating consumer credit disputes, maintaining data accuracy, performing credit adjustments, and ensuring compliance with regulations. The role requires strong analytical skills and collaboration with stakeholders to address operational risks and resolve issues effectively.
As an IT & Cyber Senior Analyst at SoFi, you'll focus on risk management activities related to technology and cybersecurity. Responsibilities include conducting control testing within AWS environments, reporting on testing outcomes, and fostering best practices in risk assessment to ensure regulatory compliance, working collaboratively with cross-functional teams to improve SoFi's technology risk posture.
The Staff Analyst, Model Risk Management will perform critical reviews of quantitative models, engage with model developers, assess data suitability, and provide detailed written reports with recommendations. The role involves validating models from basic regression to machine learning algorithms across various business areas.
Perform critical reviews of quantitative models, assess data suitability and model soundness, communicate technical concepts, and provide recommendations for model improvements. Work on models ranging from basic regression to advanced machine learning algorithms across various business areas.
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