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4 Hours Ago
Richmond, VA, USA
Hybrid
55,000 Employees
5-7 Years of Experience
55,000 Employees
5-7 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Manager, Data Management will lead the risk management efforts for Enterprise data management at Capital One, developing processes for risk mitigation and governance. Responsibilities include advising on data policies, collaborating across organizations, analyzing data for risk trends, and managing a risk consulting team while influencing senior management decision making.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
4 Hours Ago
Bengaluru, Karnataka, IND
Hybrid
55,000 Employees
7+ Years of Experience
55,000 Employees
7+ Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Distinguished Machine Learning Engineer, you will develop and enhance systems for model governance and observability. You'll collaborate with cross-functional teams to build scalable ML applications, manage data pipelines, and leverage cloud technologies. Responsibilities include integrating model metadata inputs and ensuring successful deployments of ML models.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
4 Hours Ago
Plano, TX, USA
Hybrid
55,000 Employees
165K-189K Annually
3-5 Years of Experience
55,000 Employees
165K-189K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Data Engineer at Capital One, you will work in a collaborative Agile environment to design, develop, and support technical solutions using full-stack development tools. You will leverage big data technologies, collaborate with product managers, mentor team members, and ensure high quality code through rigorous testing, driving innovation in data warehousing and cloud services.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
4 Hours Ago
Richmond, VA, USA
Hybrid
55,000 Employees
165K-189K Annually
3-5 Years of Experience
55,000 Employees
165K-189K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Sr. Data Engineer at Capital One, you will collaborate with Agile teams to design, develop, test, and implement technical solutions. Responsibilities include working on big data technologies, contributing to cloud-based solutions, and engaging in code reviews. The role involves mentoring and staying updated with tech trends to drive transformation in the company.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
6 Hours Ago
Plano, TX, USA
Hybrid
55,000 Employees
1-3 Years of Experience
55,000 Employees
1-3 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Data Analyst, you will leverage analytic and technical skills to innovate and maintain data solutions, focusing on business intelligence and data management for Capital One's Navigator Platform. Responsibilities include utilizing various data technologies, providing insights through tools and dashboards, managing data quality and governance, and collaborating with tech teams.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
10 Hours Ago
McLean, VA, USA
Hybrid
55,000 Employees
1-3 Years of Experience
55,000 Employees
1-3 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Senior Business Analyst at Capital One, you will analyze business challenges, support product and marketing strategies, improve credit risk performance, and collaborate with various departments. Your role involves problem-solving, strategic decision-making, and communicating insights effectively.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
10 Hours Ago
New York, NY, USA
Hybrid
55,000 Employees
154K-189K Annually
3-5 Years of Experience
55,000 Employees
154K-189K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Data Scientist at Capital One, you will partner with a cross-functional team to deliver customer-focused products by leveraging technologies like Python and AWS to analyze large datasets, develop machine learning models, and translate complex technical insights into actionable business strategies.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
10 Hours Ago
McLean, VA, USA
Hybrid
55,000 Employees
154K-189K Annually
3-5 Years of Experience
55,000 Employees
154K-189K Annually
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Associate, Data Scientist, you will partner with cross-functional teams to create customer-centric products, leveraging machine learning and data analytics to derive insights. You'll engage in all phases of model development from design to implementation, using technologies like Python and AWS, and applying statistical techniques to solve complex problems.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
10 Hours Ago
McLean, VA, USA
Hybrid
55,000 Employees
3-5 Years of Experience
55,000 Employees
3-5 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
As a Principal Associate in Data Science at Capital One, you will develop machine learning models to enhance underwriting processes in credit card acquisition and management. You will collaborate with cross-functional teams, leveraging technologies like Python and AWS to analyze data and deliver innovative solutions.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
10 Hours Ago
McLean, VA, USA
Hybrid
55,000 Employees
139K-168K Annually
1-3 Years of Experience
55,000 Employees
139K-168K Annually
1-3 Years of Experience
Fintech • Machine Learning • Payments • Software • Financial Services
This role involves partnering with a cross-functional team to deliver AI-powered products, leveraging a broad stack of technologies for machine learning and NLP model creation, and operationalizing them for a large user base.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
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