Manager, Data Scientist - Commercial Banking Data Science
Company: Capital One
Location: New York
Posted on: October 29, 2024
Job Description:
11 West 19th Street (22008), United States of America, New York,
New YorkManager, Data Scientist - Commercial Banking Data
ScienceData 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
DescriptionCapital One's Commercial Data Science team works to
improve the way commercial banking is done through the use of
innovative data and model-driven solutions. The lines of business
we support include commercial real estate, middle market banking,
credit lending, treasury management, and commercial tools and
platforms within the corporate and commercial real estate sectors.
-Greenfield data science projects abound within Commercial Banking.
Typical use cases that the team executes on include real-time
credit assessment of corporate and CRE through internal and
third-party datasets, localized health of geographies for credit
lending, macroeconomic predictions and insight generation, deposit
balance and attrition forecasting, optimal pricing strategies, and
portfolio credit risk assessment.Role DescriptionIn 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, AWS, 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
- Mine for real time insights hidden in large internal and
external datasets that have time and geospatial components to help
Capital One and our customers make crucial business decisions.
- Flex your interpersonal skills to translate the complexity of
your work into tangible business goalsThe Ideal Candidate is:
- 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.
- 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 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 and
statistical modeling
- At least 2 years' experience with relational databasesPreferred
Qualifications:
- PhD in "STEM" field (Science, Technology, Engineering, or
Mathematics) plus 3 years of experience in data analytics
- At least 2 year of experience working within the Finance,
Commercial Banking or Risk Management Industry
- At least 4 years' experience in Python for large scale data
analysis
- At least 4 years' experience with machine learning
- At least 3 years' experience with SQL
- At least 1 year of experience working with AWSCapital One will
consider sponsoring a new qualified 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): $201,400 - $229,900 for Mgr, Data ScienceCandidates 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 -. 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 . 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 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, New York , Manager, Data Scientist - Commercial Banking Data Science, Accounting, Auditing , New York, New York
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