Description
As a Senior Manager, Data Science - Model Risk at Capital One, you will 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 big opportunities that help everyday people save money, time and agony in their financial lives.
The Model Risk Office defends the company against model failures and finds new ways of making better decisions with models. You will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
Key responsibilities:
- Leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal 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.
- Translate the complexity of your work into tangible business goals.
The ideal candidate is a leader who challenges conventional thinking and works with stakeholders to identify and improve the status quo. You are customer-focused, innovative, and statistically-minded with experience in building models, validating them, and backtesting them.
Basic qualifications:
- Currently has, or is in the process of obtaining a Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field).
- 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.
Preferred qualifications:
- PhD in a 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.
In terms of salary, Capital One is offering the following ranges for this role:
- Chicago, IL: $209,000 - $238,500
- McLean, VA: $229,900 - $262,400
- New York, NY: $250,800 - $286,200
- Richmond, VA: $209,000 - $238,500
This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.