Seeking a Full-stack Software Engineer to join the Navigator Platform Team to revolutionize the fintech landscape by enhancing Auto Navigator and Lead Navigator platforms using cutting-edge open source frameworks.
Compensation
Plano, TX: $209,000 - $238,500 for Full-stack Engineer 5
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community.
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction.
Requirements
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
Lead data analysis initiatives, build and validate models, mentor junior analysts, and drive strategic decisions using analytics.
Locations (2)
McLean, Virginia, United States
Richmond, Virginia, United States
Compensation
McLean, VA: $164,800 - $188,100 for Data Analysis Manager
Richmond, VA: $149,800 - $171,000 for Data Analysis Manager
Responsibilities
Drive current and future strategy by leveraging analytical skills
Assist with building and using models to test and validate data
Work with vast amounts of data in new and evolving environments
Leverage analytics to create a customer experience above peers
Lead a team of junior analysts
Requirements
Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
Leverage analytic and technical skills to innovate, build, and maintain well‑managed data solutions and capabilities to tackle business problems.
Compensation
Plano, TX: $101,100 - $115,400 for Sr. Data Analyst
Responsibilities
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well‑managed data solutions, tools, and capabilities to enable self‑service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
As a Data Analyst (Principal level) at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems across Innovation, Business Intelligence, and Data Management.
Compensation
Plano, TX: $119,400 - $136,200 for Principal Data Analyst
Responsibilities
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Requirements
Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field)
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
Develops, interprets, and implements statistical, financial, and accounting concepts and quantitative techniques to support credit risk modeling, financial forecasting, model monitoring, and reporting.
Responsibilities
Apply statistical theory, econometric methods, and quantitative techniques to collect, organize, validate, interpret, and summarize numerical and text data to provide usable information.
Interpret quantitative data and design statistical models for researching problems or questions.
Perform data analysis using statistical programming software such as Python, R, or SAS, with emphasis on accuracy, reproducibility, data quality, and effective analytical controls.
Analyze and interpret data to identify trends, patterns, anomalies, and emerging risks that may affect performance, model results, or estimates.
Develop and maintain analytical programs, reusable scripts, data validation routines, and automated workflows that improve the efficiency and consistency of quantitative processes.
Requirements
Bachelor's degree in Statistics, Mathematics, Mathematics, or Economics with a strong quantitative concentration, Data Science, or another closely related quantitative discipline.
Master's degree in Statistics, Mathematics, Economics, or Data Science
As a Data Analytics Engineer I help app professionals to have the most comprehensive and high quality App market data, this is the key role of App ecosystem in various business practices.
Responsibilities
Data profiling, data quality monitoring, data cleansing and root cause analysis
Data quality assurance and related process implementation and improvement
Understand how the dataset is structured and what is the relationship inside it
Working on the front line for problem analysis and ad-hoc requests from external teams
Lead the way in bringing AI/ML-driven investment strategies to investors and manage fund accounting operations.
Compensation
highly competitive compensation and benefits packages
Responsibilities
Lead and maintain accuracy in key reporting, including monthly and annual financial statements, tax compliance, and treasury management across multiple asset classes and geographies
Help with tax compliance reporting review
Serve as a primary point of contact for service providers, ensuring policies and internal control standards are followed
Own and oversee daily and monthly reconciliations between internal records, prime brokers, counterparties, banks, and the fund administrator
Maintain the internal accounting system; produce and review daily and monthly trading P&L reports, AUM reports, and confirm settlement activity across trading strategies
Requirements
Bachelor’s degree in Economics, Finance, or Accounting
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