Manager, Data Scientist - Compliance Risk
Company: Capital One
Location: Bethesda
Posted on: April 19, 2024
|
|
Job Description:
Center 1 (19052), United States of America, McLean,
VirginiaManager, Data Scientist - Compliance RiskData is at the
center of everything we do. 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.
As a Data Scientist at Capital One, you'll be part of a team that's
leading the next wave of disruption at a whole new scale, using the
latest in computing and machine learning technologies and operating
across billions of customer records to unlock the big opportunities
that help everyday people save money, time and agony in their
financial lives.
Team Description
The Compliance Risk Management Analytics and Innovation team builds
the machine learning models that contribute to the organization's
regulatory compliance and risk management program. This team plays
a crucial role in harnessing data-driven insights to ensure
ad-herence to regulatory standards, intelligence in testing, and
complaints management. The Manager of Data Science Risk management
will lead and empower this team towards that mission.
Role Description
In this role, you will:
Empower testing for compliance with state and federal regulations
using AI and Machine Learning techniques.
Perform data and model analytics to support compliance testing on
various enterprise lines of businesses
Monitor and drive insights in enterprise customer complaints and
negative sentiments
Utilize advanced data science techniques, including NLP and OCR to
enhance the compliance and risk management processes
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:
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.
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.
Basic Qualifications:
Currently has, or is in the process of obtaining a Bachelor's
Degree plus 6 years of experience in data analytics, or currently
has, or is in the process of obtaining a Master's Degree plus 4
years of experience in data analytics, or currently has, or is in
the process of obtaining PhD plus 1 year of experience in data
analytics, with an expectation that required degree will be
obtained on or before the scheduled start date
At least 2 years' experience in open source programming languages
for large scale data analysis
At least 2 years' experience with machine learning
At least 2 years' experience with relational databases
Preferred Qualifications:
PhD in "STEM" field (Science, Technology, Engineering, or
Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
---At least 1 year of experience managing people
At least 2 years' experience with natural language processing
At least 4 years' experience in Python, Scala, or R for large scale
data analysis
At least 4 years' experience with machine learning
At least 4 years' experience with SQL
Capital One will consider sponsoring a new qualified applicant for
employment authorization for this position.
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).
Keywords: Capital One, Rockville , Manager, Data Scientist - Compliance Risk, Executive , Bethesda, Maryland
Click
here to apply!
|