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 directly influence the P&L of our largest lending program, giving you a chance to see the tangible results of your efforts on a massive scale.
Partner with experts: Interact heavily with both credit analysts and data science partners, translating complex needs into actionable technical solutions.
The Ideal Candidate is:
Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers.
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.
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.
Requirements
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics
A 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 5 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
At least 2 years of experience leveraging open source programming languages for large scale data analysis
At least 2 years of experience working with machine learning
At least 2 years of experience utilizing relational databases
PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 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 5 years' experience in Python, Scala, or R for large scale data analysis
At least 5 years' experience with machine learning
Capital 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 p
Additional Information
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.
Capital One · Unknown