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Senior Manager, Data Science-Commercial Bank

Company: Jobget
Location: Bethpage
Posted on: January 15, 2022

Job Description:

11 West 19th Street (22008), United States of America, New York, New York Senior Manager, Data Science-Commercial Bank Senior Manager Data Scientist, Commercial Bank Data 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. Commercial Bank - RAAD (Risk Analytics And Data Science Team) Capital One's RAAD team is the commercial bank's data science team. We work 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 credit lending, treasury management, commercial card, and B2B payments within the $20MM revenue corporate and commercial real estate sectors. Typical use cases include real-time credit assessment of corporate risk through non-traditional datasets, deposit balance and attrition prediction and forecasting, optimal pricing strategies and portfolio credit risk assessment. Our mission is to lead the charge in the use of modern data and model driven techniques within the commercial banking industry. In this role, you will: Partner with a cross-functional team of data scientists, business analysts, software engineers, and product managers to deliver solutions that disrupt the commercial banking industry. Leverage a broad stack of technologies - Python, Conda, AWS, H2O, R, 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 : 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. Basic Qualifications: Bachelor's Degree plus 7 years of experience in data analytics, or Master's Degree plus 5 years of experience in data analytics, or PhD plus 2 years of experience in data analytics At least 3 years' experience in open source programming languages for large scale data analysis At least 3 years' experience with machine learning At least 3 years' experience with relational databases Preferred Qualifications: Master's Degree plus 7 years of experience in data analytics, or PhD plus 4 years of experience in data analytics At least 2 years experience in Finance/Commercial Banking At least 2 years experience in time series forecasting At least 2 years experience in distributed/parallel computing (eg. Spark/Dask) At least 1 year of experience working with AWS At least 2 year of experience people management At least 5 years' experience in Python At least 4 years' experience with machine learning Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 RecruitingAccommodationcapitalone.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 Careerscapitalone.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: Jobget, New Rochelle , Senior Manager, Data Science-Commercial Bank, Executive , Bethpage, New York

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