Principal Associate, Data Science

Capital One; Illinois; On-site; USD 144,200 - 164,600; Full time

Benefits offered by this job

Comprehensive health benefits

Financial wellness programs

Inclusive workplace environment

Job summary

A leading financial services firm is seeking a Principal Associate in Data Science to analyze data and develop cutting-edge models. The ideal candidate will have a strong background in quantitative fields and experience with advanced technologies. Key responsibilities include collaborating with teams to mitigate risks and leveraging big data analytics to enhance financial decision-making. This role offers a competitive salary and is located in Anytown, IL. Join a forward-thinking team dedicated to transforming the financial landscape.

Qualifications

• Bachelor's degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field.
• 2+ years of experience in data analytics.
• Hands-on experience with machine learning technologies.

Responsibilities

• Partner with a cross-functional team to identify model risks.
• Build statistical and machine learning models.
• Present model risks to executives.

Skills

Python

Machine Learning

Data Analysis

Cloud Computing

Statistical Modeling

Education

Bachelor's Degree in a quantitative field

Master’s Degree in a quantitative field

Tools

AWS

SQL

Scala

R

Job description

Principal Associate, Data Science

Join to apply for the Principal Associate, Data Science role at Capital One.

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 Credit Risk Management, Loss Forecasting and Allowance team uses the latest technologies and innovative models and data to forecast and optimize future losses associated with Capital One’s credit card portfolio. We partner with model development and software engineering teams to build predictive models and automate insight generation.

Role Description

• Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
• Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within data
• Build statistical/machine learning models to challenge “champion models” that are deployed in production today
• Contribute to the model governance of the next generation of machine learning models
• Flex your interpersonal skills to present how model risks could impact the business to executives

Ideal Candidate

• 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.
• 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.
• 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.
• Statistically‑minded. You’ve built models, validated them, and backtested them. You have experience with a wide array of methods.
• 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 2 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

Preferred Qualifications

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• Experience working with AWS
• At least 2 years’ experience in Python, Scala, or R
• At least 2 years’ experience with machine learning
• At least 2 years’ experience with SQL

Sponsorship

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Salary

McLean, VA: $158,600 - $181,000 for Principal Associate, Data Science

Richmond, VA: $144,200 - $164,600 for Principal Associate, Data Science

New York, NY: $173,000 - $197,400 for Principal Associate, Data Science

Anytown, IL: $144,200 - $164,600 for Principal Associate, Data Science

This role is expected to accept applications for a minimum of 5 business days.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901‑4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.