Principal Associate, Data Scientist - Risk Management Product

Principal Associate, Data Scientist - Risk Management Product

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

As part of the Risk Management Product Data Science team, you will focus on leveraging machine learning to drive efficiencies and better risk management for the company. This team is responsible for:

* Compliance Innovation

* Product intent leadership across Compliance & Ethics (General Compliance and Corporate Integrity functions)

* Natural Language Processing initiatives

* Generative AI initiatives

Risk Management Product RISK IQ is a transformation lever using products, analytics, innovation, and data as we advance our Risk Management programs. In addition, we are also in the midst of its own transformation, moving away from traditional data acquisition and basic reporting toward real time business analysis, data science, and Generative AI.

Role Description

In this role, you will:

* Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

* Leverage a broad stack of technologies - Python, Conda, AWS, H2O, 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:

* Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

- 1

* 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. 2

* 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.

* A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

* 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 5 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 3 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)

Preferred Qualifications:

* Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)

* At least 1 year of experience working with AWS

* At least 3 years' experience in Python, Scala, or R

* At least 3 years' experience with machine learning

* At least 3 years' experience with SQL

* At least 2 years' experience working with generative AI

* At least 2 years' experience working with NLP

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 posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Princ…