Manager, Data Analyst - AML

Manager, Data Analyst - AML
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

About the Organization
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. Our team develops data sourcing, predictive models, monitoring, and reporting using tools such as AWS, Snowflake, Python, and Spark. As the model development team for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of these critical risk management models.

The Role
Our mission is to empower data-driven decision-making, foster innovation without limits, and make Capital One's AML program pre-eminent. We achieve this by implementing rigorous data governance practices, constructing analytical data stores, and harnessing the power of analytics to unlock valuable insights.

As a Manager, you will partner cross-functionally with teams throughout the enterprise including Product and Tech to deliver tangible business value. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, we drive innovation, shape strategic initiatives and propel AML Transaction monitoring to new heights. If you're passionate about leveraging data to drive real-world impact and thrive in a collaborative, forward-thinking environment, we want you on our team. Join us and be a catalyst for change in the world of data and analytics.

What you'll do

Drive current and future strategy by leveraging your analytical skills

Assist with building and using models to test and validate data

Work with vast amounts of data in new and evolving environments

Be a part of growing and developing our brand in new and emerging markets

Leverage analytics to create a customer experience above our peers

Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

Be a part of the full life cycle of projects and see end results

Collaborate across business units

Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

Experience real work life balance, with little travel involved

On any given day you will be

Mining data to arrive at specific and crucial information for the organization

Identifying and implementing process, data, and reporting improvements for the organization

Working with large and complex databases containing millions to billions of records

Improving operational efficiencies and effectiveness

Conducting analysis to evaluate processes and tests

Extracting and analyzing data to gauge product offerings

Consulting on the design and implementation of new production and data storage systems

Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

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 6 years of experience performing data analytics, or

Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

At least 4 years of experience performing professional data analysis work

At least 4 years of experience performing programming

Preferred Qualifications

Master's Degree in a Science, Technology, Engineering, Mathematics discipline

At least 7 years of professional data analysis work experience

At least 4 years of experience with Python, R, Spark or SQL

At least 1 year of model development, model risk or model validation experience

At least 1 year of AML, fraud or regulatory compliance experience

At least 1 year of experience in people management

At least 1 years of project management experience

Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.

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.

Plano, TX: $149,800 - $171,000 for Data Analysis ManagerMcLean, VA: $164,800 - $188,100 for Data Analysis ManagerRichmond, VA: $149,800 - $171,000 for Data Analysis ManagerChicago, IL: $149,800 - $171,000 for Data Analysis Manager

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. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 View phone number on techcareers.com or via email at View email address on techcareers.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 View email address on techcareers.com

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