Capital One

Sr. Cyber Analytics Engineer

New York, NY McLean, VA
USD 165k - 188k
Git Shell AWS SQL Machine Learning Python API
Description
Center 3 (19075), United States of America, McLean, Virginia

Sr. Cyber Analytics Engineer

We are looking for a savvy data visualization and metrics professional to join our growing team of analytics experts. You should be proficient in using Tableau and other BI tools to create new and update existing reports. You should have experience with traditional and modern technologies, such as relational databases, Snowflake, Python, Databricks, REST API, Git, Shell scripting, and AWS.

 

In this role, you will be responsible for creating, enhancing, and optimizing Tableau visualizations that are used by our business customers and internal leaders. You may be asked to create, maintain and optimize our data delivery and extraction from multiple data sources into our data warehouse.  

Responsibilities of the role include:

  • Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies

  • Developing dashboards (using Tableau or QuickSight) for various audiences that reflect technology and cyber risk profiles, risk trends, as well as residual and emerging risks. 

  • Building data pipeline frameworks to automate high-volume and real-time data delivery to our cloud platform

  • Developing insights using Machine Learning technologies to inform storytelling and decision making across Cyber

  • Effectively communicate the impact of operations, compliance, and cybersecurity gaps to multiple audiences, encouraging remediation activities to enhance their cybersecurity posture

  • Building relationships with stakeholders across Cyber to gather requirement and generate new/improved value streams using data and insights

  • Leveraging cybersecurity knowledge to suggest appropriate cybersecurity metrics or build data models that reduce risks

The Ideal Candidate will be:

  • An excellent communicator at various levels, able to develop and speak to code and also translate logic to leadership

  • Comfortable with Technology. You are advanced in Python and SQL, and you are constantly exploring new open source tools.

  • Data Wrangler. You know how to programmatically extract data from a database and an API, bring it through a transformation or two, and model it into human-readable form (ROC curve, d3 visualization, Tableau, Redash, Kibana, etc.).

  • Data Understander. You are able to understand how data flows, pick up patterns, and share this knowledge with customers.

  • Cybersecurity Focused. You are interested in being able to tell stories from cybersecurity data to help leaders make decisions on protecting against attacks.

Basic Qualifications:

  • High School Diploma, GED or equivalent certification

  • At least 4 years of experience using database management tools (SQL)

  • At least 3 years of experience using relational database systems 

  • At least 3 years of experience creating visualizations with Tableau or other business intelligence tools

  • At least 2 years of experience scripting in Python and interacting with APIs

Preferred Qualifications:

  • Bachelor’s Degree in Computer Science, Engineering, Data Analytics, or related field

  • 3+ years of Data Engineering experience

  • 2+ years of experience with cyber security data

  • 2+ years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry

  • 2+ years of experience utilizing and developing within AWS services

  • 1+ years of experience with AWS services

  • At least 2 years of experience building Machine Learning frameworks

At this time, Capital One will not sponsor a new applicant for employment authorization for this position

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $165,100 - $188,500 for Prin Assoc, Cyber Technical

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This 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.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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 RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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