Data Analyst jobs in United States, Virginia, Arlington
EY Government Public Sector - Service Support Desk Analyst United States, Virginia, Arlington
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Requisition Id : 1638546
Your key responsibilities
Technical Excellence
Skills and attributes
To qualify for the role you must have
Qualification
Any Graduate/Post Graduate/LLM/LLB
9+Years
Market Research , Company Profiling, Secondary Research
What we look for
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.
What we offer
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
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EY Quantitative Analyst-FSRM - Quant Adv Ser United States, Virginia, Arlington
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Quantitative Analyst, Financial Services Risk Management - Quantitative Advisory Services - Banking Book - Financial Services Office (Manager) (Multiple Positions) (1633683), Ernst & Young U.S. LLP, Tysons (McLean), VA.
Full time employment, Monday – Friday, 40-45 hours per week, 8:30 am – 5:30 pm.
MINIMUM REQUIREMENTS:
Must have a Bachelor’s degree in economics, statistics, computational finance, mathematics, engineering, data science, physics, or a related field and 5 years of post-baccalaureate progressive quantitative analysis work experience.Alternatively, must have a Master’s degree in economics, statistics, computational finance, mathematics, engineering, data science, physics, or a related field and 4 years of quantitative analysis work experience.Alternatively, must have a Ph.D. in economics, statistics, computational finance, mathematics, engineering, data science, physics, or a related field and 2 years of quantitative analysis work experienceMust have 2 years of experience with statistical and numerical techniques, or technical analytics, including regression analysis or machine learning.Must have 2 years of experience communicating (written and oral) and interpreting technical concepts for technical and non-technical users.Must have 2 years of experience in two of the following:
- broad credit risk modeling and related analytics
- retail modeling for at least one of the following: mortgage, credit card, or consumer loans
- wholesale credit modeling for C&I, CRE or related exposures
- credit loss forecasting for US GAAP, CECL or IFRS 9
- model development
- model validation
- advanced analytics
- quantitative analysis supporting consumer regulatory compliance.Must have 2 years of consulting (advisory services) work experience.Must have 1 year of experience in one or more of the following:
- SAS or STATA
- R
- Python
Requires domestic and regional travel up to 30% to serve client needs.Employer will accept any suitable combination of education, training, or experience.
What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on yourperformance and recognized for the value you bring to the business. The base salary for this job is $151,805.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
For those living in California, please
This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".
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EY Government Public Sector - AI & Data GenAI Developer Manager United States, Virginia, Arlington
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Your key responsibilities
Our GenAI Developer will be responsible for designing and optimizing applications that leverage modern web frameworks and AI models. You can expect to support government clients with delivering the latest data science and big data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. You’ll be responsible for implementing generative AI models, working with AI/ML engineers, developing web applications and ensuring quality and product excellence.
Skills and attributes for success
- Experience with JavaScript and frameworks like React, Next.js or similar
- Experience with back-end development (Python, FastAPI or similar)
- Understanding of cloud platforms such as AWS, Azure, Vercel etc.
- Experience developing, maintaining and improving web applications using modern frameworks (React, Next.js, Svelte, Vue, Remix/React Router, etc.)
- Understanding of generative AI models (openAI, Anthropic, open-source LLMs) into web-based products
- Experience working with designers, product managers, AI/ML engineers to create intelligent user experience
- Experience writing tests, participating in code reviews
- Seeking out information to learn about emerging methodologies and technologies
- Clarifying problems by driving to understand the true issue
- Looking for opportunities for improving methods and outcomes
- Collaborating, influencing, and building consensus through constructive relationships and effective listening
- Solving problems by incorporating data into decision making
To qualify for the role, you must have
- degree
- Eligible to obtain and maintain aSecret Clearance
- Must be comfortable working in-person as needed in the greater Washington, DC
- At least 6-8+ years of experience with the following:
- Modern web development (JavaScript/TypeScript etc.)
- Backend development (Node.js, Python, FastAPI or similar
- Experience integrating generative AI models into applications (APIs or fine-tuned models)
Ideally, you’ll also have
- Bachelor’s Degree or above in mathematics, information systems, statistics, computer science, or related disciplines
- Experience with vector databases (Pinecone, Weaviate) and AI inference optimizations
- Experience with open-source AI and web projects
- Experience with RAG or fine-tuning models
- Communication is essential, must be able to listen and understand the question and develop and deliver clear insights
What we offer you
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $142,800 to $261,800. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,400 to $297,500. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
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Capital One Senior Data Engineer Bank Tech United States, Virginia, Arlington
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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
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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.
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Capital One Principal Associate Data Scientist - US Card United States, Virginia, Arlington
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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.
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Capital One Manager Data Scientist - US Card New Credit Team United States, Virginia, Arlington
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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.
These jobs might be a good fit
Share
Requisition Id : 1638546
Your key responsibilities
Technical Excellence
Skills and attributes
To qualify for the role you must have
Qualification
Any Graduate/Post Graduate/LLM/LLB
9+Years
Market Research , Company Profiling, Secondary Research
What we look for
People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.
What we offer
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
These jobs might be a good fit
