דרושים Sr Data Analyst ב-Capital One ב-United States, Arlington
Capital One Senior Data Engineer Bank Tech United States, Virginia, Arlington
What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and 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
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Qualifications:
Bachelor’s Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
Qualifications:
5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Capital One Sr Associate Data Analyst - Card United States, Virginia, Arlington
On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:
Innovation
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
Business Intelligence
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
Data Management
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality
Our ideal candidate will have:
Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within AWS services
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree with an expectation that required degree will be obtained on or before the scheduled start date.
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing business intelligence visualization tool
At least 1 year of experience querying, analyzing and working with data languages and platforms
Preferred Qualifications:
Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
At least 2 years of experience coding in Python, R, Spark, or SQL
At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
At least 1 year of experience utilizing and developing within AWS services
At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ)
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Capital One Principal Associate Data Scientist - US Card United States, Virginia, Arlington
Role Description
In this role, you will:
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Capital One Manager Data Scientist - US Card New Credit Team United States, Virginia, Arlington
Team Description
Additionally, we conduct thorough statistical analysis to generate insights that influence various business strategies. You will collaborate with data scientists, business analysts, and software engineers on all stages of model development. This work will be conducted in a supportive environment that values your contributions, encourages new responsibilities, promotes ongoing learning, and rewards innovation.
Role Description
In this role, you will:
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Leverage a broad stack of technologies — Python, Conda, AWS, Spark, Kubeflow Pipelines, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
Basic Qualifications:
Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open source programming languages for large scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Preferred Qualifications:
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or Master’s Degree plus 5 years of industry experience in data science
At least 1 year of experience working with AWS
At least 4 years’ experience in Python
At least 4 years’ experience with building machine learning models, with at least two years of experience with building GBM models
At least 4 years’ experience with SQL
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Capital One Senior Manager Product Management - Finance Data & Capabilit... United States, Virginia, Arlington
In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:
Human Centered- Obsesses about internal and external customer needs to reimagine and innovate product solutions
Business Focused -Delivers game-changing outcomes by focusing on leverage and execution excellence
Technology Driven -Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
Integrated Problem Solving- Identifies and resolves complex problems to deliver outcomes while mitigating product risks
Transformational Leadership -
Basic Qualifications:
At least 5 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Capital One Senior Lead Data Engineer Python EMR Databricks AWS United States, Virginia, Arlington
What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and 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
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
Bachelor’s Degree
At least 6 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
Master's Degree
9+ years of experience in application development including Python, SQL, Scala, or Java
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation (Mongo, Cassandra)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Capital One Sr Associate Loan Closer - Community Finance United States, Virginia, Arlington
As a Loan Closer, under the direction of management or designee, you will play a key role in ensuring smooth loan closings, directly impacting clients and supporting the success of the Community Finance group. This role involves working on diverse loan transactions, including those with bond components, and requires strong analytical skills to interpret complex credit agreements. You will be instrumental in driving the closing process for a variety of Community Finance loan products, fostering a culture of trust and efficiency in a fast-paced environment. Our team is committed to providing exceptional servicing, and you will be a key player in achieving this goal. Effective communication and prompt resolution of any issues during the closing process are essential for success.
The Senior Associate will drive the loan closing process in support of the underwriter and capital officer groups, including the review of credit approvals, legal documentation, due diligence, and funding & booking mechanics. The ability to learn quickly and to adapt to change are important skills in this role. Additionally, important are effective communication skills, product knowledge & the ability to clearly convey complex concepts and issues in a concise way.
Key Responsibilities:
Support the closing of loans where Capital One is the Lender or Administrative Agent
Serve as the operational point of contact for the group during the pre-closing process
Support loan closings for a variety of products, across various industries including construction loans & letters of credit
Review complex legal documents and commercial loan documents to ensure documentation accurately reflects the intentions of the credit approval, that it complies with bank policies & procedures, industry standards, and is operationally feasible to support. This includes careful review for non-syndicated deals as well, ensuring accuracy against credit approval and compliance with policies
Provide feedback on draft documents pertaining to loan booking and servicing mechanics
Coordinate the completion of pre-closing requirements with internal & external clients (underwriters, borrowers, lenders, and legal counsel)
Collection and review of third-party reports (appraisals, environmental, Plan and Cost), & commercial insurance in consultation with real estate & insurance specialists
Resolve issues that might impede closing and use judgment to involve the manager and internal partners when required
Execute loan closing, funding & booking activities in ACBS in collaboration with all parties
Execute and/or review of Transaction Summary Forms, wire set-up/approval and new deal bookings
Monitor and prompt resolution of exception reporting and cash reconciliation outages
Create or assist in drafting of operational incident reports, partnering with Commercial Risk on root cause analysis, remediation and prevention
Effectively communicate deal information & coordinate hand-offs to the life-of-loan servicing team
Compile collateral package & route to Collateral Monitoring group
Coordinate the closing of ongoing amendments as the Administrative Agent
Additional tasks include the reconciliation of cash breaks & fee income, generation of reports & metrics, and testing of process & system enhancements
Develop, design and follow inter-departmental controls and risk reducing processes
Ensure Know Your Customer “KYC” requirements have been met prior to closing a transaction
Complete post-closing activities to ensure that all necessary documentation is received by downstream partners
Basic Qualifications:
At least 3 years of experience in loan operations, loan closing, construction management, or any combination of the three
Preferred Qualifications:
Bachelor’s degree or military experience
3+ years of experience with Commercial Loan Booking or Commercial Loan Servicing
1+ years of experience working with ACBS
Proficiency with Microsoft and Google products
Experience with Excel VBA and JavaScript
Strong communication skills
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
What You’ll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and 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
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Qualifications:
Bachelor’s Degree
At least 3 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
Qualifications:
5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ year experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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