Principal Associate
PrincipalAssociate,DataScientist-ModelRiskOffice
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“Principal Associate, Data Scientist - Model Risk Office at Principal Associate. Skills: Data Science, Model Risk, Machine Learning, Statistical Modeling. Defend the company against model failures. Find new ways of making better decisions with models”
What You'll Achieve.
Unlock the big opportunities that help everyday people save money, time and agony in their financial lives
Industry & Context.
Bringing definition to big, undefined problems; Finding answers
What They're Looking For.
Must Have
Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics, Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics, PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Nice to Have
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, PhD in “STEM” field (Science, Technology, Engineering, or Mathematics), At least 3 years’ experience in Python, Scala or R, Experience with PySpark, At least 3 years’ experience with SQL, At least 3 years’ experience with Machine Learning model development and deployment, At least 1 years’ experience with AWS or other cloud computing platform, Experience with model development/deployment pipelines (e. g. Kubeflow)
What You'll Do.
Defend the company against model failures
Find new ways of making better decisions with models
Evaluate model risk associated with Card Fraud models
Execute effective challenges through rigorous assessment of developed fraud models
Construct independent challenger models
Build machine learning models through all phases of development
from design through training
How You'll Work.
Team & Collaboration
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Communication Scope
Translate the complexity of your work into tangible business goals
Full Job Description
Principal Associate, Data Scientist - Model Risk Office 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. **Team Description** In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition. The successful candidate will specifically support the Card Fraud Model Risk team, which is responsible for evaluating the model risk associated with the Card Fraud models utilized across the entire customer lifecycle. This includes models deployed during the application, transaction, and payment stages, addressing both first-party and third-party fraud use cases. The team executes effective challenges through the rigorous assessment of developed fraud models and the construction of independent challenger models. **Role Description** **In this role, you will:** * Partner wit
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