Top Data & Analytics Jobs
The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.
The Principal Data Management role involves designing and implementing a long-term enterprise data management and governance program. Responsibilities include developing data quality applications, managing relationships with federated data governance groups, and partnering with external vendors to enhance the program's maturity.
The Data Engineer is responsible for designing, developing, testing, and maintaining complex data solutions. They manage risks, lead code reviews, develop data integration solutions, and participate in agile ceremonies, while mentoring peers and influencing technical decisions across teams.
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As an Application Engineer, you will oversee design and implementation of assigned products, manage risks, analyze and deploy new user stories, guide junior engineers, and enforce IT standards. Collaboration with various stakeholders is crucial for achieving team commitments and ensuring high reliability of solutions.
The Senior Data Science Analyst is responsible for managing and enhancing credit risk oversight processes, evaluating consumer credit risks, managing a team, and developing reports on credit risk appetite. The role involves collaborating with teams to mitigate risks and presenting analytical findings to management.
The Principal Cybersecurity Analyst will conduct comprehensive risk assessments, evaluate security controls, implement mitigation strategies, and manage cybersecurity risks. The role involves collaborating with departments, developing and maintaining documentation, and guiding staff on risk management practices, while staying updated on cybersecurity trends and compliance requirements.
The Senior Associate Data Management is responsible for developing, implementing, and maintaining long-term enterprise data management and governance programs. This role involves coding solutions for data quality, metadata management, and sensitive data management, while actively managing risk and customer-impacting issues.
The Principal Business Risk Analytics & Reporting role involves leading the development and communication of business risk reporting, collaborating with stakeholders to ensure compliance, managing relevant data, and continuously enhancing analytics processes to monitor key risk metrics.
The Lead Data Science Analyst will manage advanced analytics initiatives, focusing on credit risk and home loans servicing. The role involves developing machine learning algorithms, collaborating cross-functionally to deliver insights, and creating reports and dashboards to monitor metrics. Additionally, the analyst will identify and implement efficiency improvements and continuously enhance their skills through training.
The VP of Consumer Lending will lead independent credit risk oversight for Discover's Personal and Home Loan portfolios, ensuring credit strategies meet profitability hurdles and risk appetites. Responsibilities include overseeing credit risk performance, developing monitoring strategies, reporting, and providing strategic counsel to senior executives.
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