דרושים Sr Manager Data Analyst - Marketing Analytics Product Strategy ב-Capital One ב-United States, Arlington

Principal Associate, Credit Card Product Marketing

Capital One, a Fortune Magazine “100 Best Companies to Work For,” is seeking an innovative Principal Associate to drive product marketing strategy for card products designed for those with fair credit. This individual will curate acquisitions experiences that meet the needs of the everyday consumer looking to access credit and earn rewards. This role will be responsible for translating audience insights into marketing optimizations, designing learning agendas and collaborating with partners to launch new tactics. The marketer will be a member of the Mainstreet Product Marketing team which is responsible for managing the product positioning for credit cards, developing an acquisition journey to help customers find the right product for their lifestyle. In this role, you will have the opportunity to take your marketing, technical and strategy skills to the next level.

• Craft marketing strategy for credit card acquisitions, from building consideration through conversion

• Synthesize consumer research insights, marketing trends, competitive landscape, and macro external factors to identify new strategic recommendations to improve marketing, business results and brand impact

• Collaborate with business analyst teams to understand total business performance and build on analysis to identify new opportunities and adjust marketing/testing strategies

• Serve as key liaison for and collaborate with cross-functional teams including business, channel/performance marketing, product marketing, creative, legal, operations and corporate communications partners

• Translate and communicate business intent in a directive manner that partner teams can act on

• Partner with internal and external creative and marketing technology teams to build and scale marketing tactics and optimization to drive lifts in KPIs, particularly conversion metrics

• Champion the brand, ensuring that the strategies and messaging for each of our credit cards are in line with their respective audience’s needs

• Write clear and concise creative briefs, test documents, test plans and strategies, driving continued performance and optimization against KPIs across channels

The ideal candidate:

• Thrives on collaboration with partner teams and is comfortable operating in a large, matrixed organization

• Has experience working with colleagues at varying levels, including senior leadership

• Can operate in white space with limited support and contribute to the agenda

• Is naturally curious, always seeking to know the why behind the why

• Can manage the details of multiple projects, deadlines and changing priorities, while maintaining excellent and accurate work

• Is a highly effective communicator and skilled relationship-builder who can influence internal decision makers with formal recommendations and informal networking

• Does not shy away from data but rather leans into it to inform marketing and creative strategy recommendations

• Continually pushes the boundaries and asks how we can continue to do things better, identifying areas of opportunity

Basic Qualifications:

• Bachelor’s Degree or Military Experience

• At least 4 years of experience in product marketing or multi-channel digital marketing

• At least 4 years of experience developing marketing test frameworks, driving optimization plans and strategy

• At least 4 years of experience managing marketing intent, partnering with creative and channel teams, and developing strategies and briefs

Preferred Qualifications:

• Masters degree in Marketing, Business or Communications

• At least 2 years of experience marketing for financial services or another highly regulated industry

• At least 2 years of experience working with cross-functional teams in a matrixed environment with a track record of effectively working autonomously and navigating ambiguity

• At least 1 year of experience working with marketing tech platforms, including data management platforms or customer relationship management systems
  

McLean, VA: $117,300 - $133,900 for Principal Associate, MarketingThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Senior Data Engineer (Bank Tech)

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

McLean, VA: $158,600 - $181,000 for Senior Data EngineerThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Senior Manager, Software Engineering, Full Stack

What You’ll Do:

• 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, and from time to time, be asked to code or evaluate code

• 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 JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

BasicQualifications:

• Bachelor’s Degree

• At least 6 years of experience in software engineering (Internship experience does not apply)

• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 4 years of people management experience

PreferredQualifications:

• Master’s Degree

• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go

• 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service

• 4+ years of experience in open source frameworks

• 7+ years of people management experience

• 2+ years of experience in Agile practices

McLean, VA: $225,400 - $257,200 for Sr. Mgr, Software EngineeringThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Sr Associate, Data Analyst - Card

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)

McLean, VA: $109,000 - $124,400 for Sr. Data Analyst Richmond, VA: $99,100 - $113,100 for Sr. Data Analyst Chicago, IL: $99,100 - $113,100 for Sr. Data AnalystThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Responsibilities:

• Conducting risk-based reviews covering consumer line(s) of businesses

• Identifying credit process weaknesses

• Identifying emerging trends and issues

• Perform independent data analysis to support or identify gaps in credit policies

• Tracking of identified issues to resolution

• Communicating Credit Review assurance results with exceptional verbal and written communication skills, demonstrating strong clear thinking and succinct delivery of message

• Reporting results and issues verbally and in writing to executive management and internal credit and risk senior executives

• Working with regulators and external auditors to provide assurance that Credit Review processes are sound

• Building and maintaining high trust relationships with credit risk executives, associates, and regulators

• Acting as an approachable advisor to business partners by developing continuous and effective communication channels for all stakeholders

• Showing ability to provide business leadership and partnering skills to help drive the organization towards critical decisions and deliverable results

Basic Qualifications:

• Bachelor’s degree or military experience

• At least 7 years of data analysis experience

• At least 3 years of experience in consumer lending, credit risk policy or risk analytics in credit card loans or auto loans

• At least 3 years of experience with influencing senior level executives or regulators

Preferred Qualifications:

• Master’s Degree

• Consumer credit training from a large national or regional bank or equivalent training in a regulatory office (Office of the Comptroller of the Currency (OCC), Federal Reserve)

• Credit risk modeling, audit or assurance experience

Chicago, IL: $175,500 - $200,300 for Sr. Credit Review Manager McLean, VA: $193,000 - $220,300 for Sr. Credit Review Manager New York, NY: $210,500 - $240,300 for Sr. Credit Review Manager Wilmington, DE: $175,500 - $200,300 for Sr. Credit Review ManagerThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

Principal Associate, Data Scientist - US Card

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

McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data ScienceThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.

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

Chicago, IL: $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data ScienceThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. 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.