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Responsible for building backend data pipelines to enable data producers to expose data for analytics, collaborating with internal partner teams, prioritizing and providing data for analytic use cases, and learning the essentials of product management.
Collaborate with Agile teams to design, develop, test, and implement technical solutions using Java, Go, and AWS. Work on building a state-of-the-art software system for a key initiative within Capital One. Share tech trends, mentor team members, and deliver cloud-based solutions for financial empowerment.
Responsible for managing daily, monthly delivery and issue remediation of financial data and reports in the Capital Markets Analytics - Automation and Data team. Collaborate with business partners to analyze regulations, perform data analysis using SQL and Python, drive process improvements, and communicate with senior management.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records. The role involves harnessing transformer model architectures, managing large-scale data annotation projects, collaborating with machine learning engineers, and leveraging a broad stack of technologies to automate workflows using huge volumes of text audio, and vision data.
The Principal Associate , Data Science - Servicing Intelligence at Capital One is responsible for harnessing the power of transformer model architectures, fine-tuning large language models, managing data annotation projects, building machine learning solutions, collaborating with stakeholders, and leveraging a broad stack of technologies to automate workflows using text, audio, and vision data.
Lead Design Researcher role at a human-centered organization focused on delivering products and services based on customer research and feedback. Responsible for strategic level research to deliver best-in-class products and services. Will collaborate with design, technology, product, and business teams to create intuitive and engaging experiences. Lead and develop teams, manage research standards, and advocate for the customer through human-centered research methods.
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems. Collaborate with digital product managers to deliver robust cloud-based solutions. Utilize various programming languages and technologies like Java, Python, SQL, Node, Go, Scala, AWS, Docker, and Kubernetes.
Lead a team of developers in creating solutions for regulatory needs using various programming languages and cloud technologies. Collaborate with digital product managers to deliver cloud-based solutions. Stay updated on tech trends and mentor other engineers within the community.
The Manager, Capital Markets and Risk - Automation and Data team at Capital One is responsible for analyzing regulations, managing data, and performing calculations to create analytics with business value. They collaborate with business partners to identify and problem solve issues, deliver insights, and drive decision-making. Responsibilities include analyzing regulations' impact, managing data delivery, performing user acceptance testing, and driving process improvements. Basic qualifications include a Bachelor's Degree and at least 4 years of financial modeling experience. Preferred qualifications include 6+ years of financial industry experience, CPA or Master's Degree, and proficiency in SQL and Python.
Seeking a Lead Reliability Engineer in Bank Tech at Capital One, responsible for collaborating with Agile teams to design, develop, test, and support technical solutions, drive reliability improvements, and establish standards for system reliability. Requires experience in Java, Python, SQL, Node, Go, Scala, AWS, and cloud computing.
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