Capital One
Financial Services
SeniorManager,DataScientist-MSCLIPValuations
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“Senior Manager, Data Scientist - MS CLIP Valuations at Capital One. Skills: Data science, Machine learning, Credit risk. Design and develop credit tools. Leverage Python skills to create solutions”
What You'll Achieve.
Impact the P&L of Capital One's Mainstreet CLIP platform; Enable rapid credit decision-making
Industry & Context.
Analyze data; Create solutions; Define big problems; Push hard to find answers
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field plus 7 years of experience, Master's Degree in quantitative field or MBA with quantitative concentration plus 5 years of experience, PhD in quantitative field plus 2 years of experience, 2 years of experience leveraging open source programming languages, 2 years of experience working with machine learning, 2 years of experience utilizing relational databases
Nice to Have
PhD in STEM field plus 4 years of experience, 1 year of experience working with AWS, 1 year of experience managing people, 5 years’ experience in Python, Scala, or R, 5 years’ experience with machine learning
What You'll Do.
Design and develop credit tools
Leverage Python skills to create solutions
Work closely with credit analysts
Support credit and lending strategy
Define credit and lending strategy
Influence the P&L of lending program
Interact with credit analysts
Interact with data science partners
Translate needs into technical solutions
How You'll Work.
Team & Collaboration
Credit analysts; Data science partners
Full Job Description
Senior Manager, Data Scientist - MS CLIP Valuations 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****_ The Mainstreet CLIP valuations team builds and manages the models that power one of the largest exposure granting programs in the company. _****Role Description****_ In this role you'll have a unique opportunity to work on the technical side of things while partnering with credit analysts to impact the P&L of Capital One's Mainstreet CLIP platform. This is a chance to be at the forefront of innovation, shaping the next generation of infrastructure and tools that will enable rapid credit decision-making for a business that extends $12+ billion in credit every year. **What you’ll do:** * Build innovative tools: Design and develop a suite of sophisticated credit tools that will be used by a wide range of users, from credit analysts to data scientists. You'll leverage your Python skills to create solutions that are both powerful and user-friendly. * Collaborate and learn: Work closely with credit analysts to support and define our credit and lending strategy. This is a fantastic opportunity to learn about the intricacies of credit by building the very tools that enable critical decision-making. * Drive business impact: Your work will dire
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