Senior Associate, Data Scientist - Operational Risk Management

Capital One National Association; New York (NY); On-site; USD 148,000 - 169,000; Full time

Benefits offered by this job

Health benefits

Sponsorship for eligible applicants

Competitive compensation

Job summary

Capital One is seeking a Senior Associate, Data Scientist in New York to join the Operational Risk Management team. You will partner with data scientists, engineers, and product managers to deliver risk analytics that inform senior leadership decisions.

You will build ML models using Python, Spark, and cloud technologies on large-scale data, and translate complex results into actionable business insights while advancing risk management practices.

Qualifications

• Bachelor's degree in a quantitative field plus 2 years of analytics experience.
• Master's degree in quantitative field or an MBA with a quantitative concentration.

Responsibilities

• Partner with cross-functional teams to deliver risk analytics products.
• Build ML models through all stages: design, training, evaluation, and deployment.
• Translate complex model outputs into actionable business guidance.
• Leverage Python, Spark, and cloud technologies to process large data.

Skills

Python

Scala

R

Machine Learning

SQL

AWS

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field or MBA with quantitative concentration

Tools

Spark

H2O

Conda

Job description

Senior Associate, Data Scientist - Operational Risk Management

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 records to unlock the big opportunities that help us manage risk so everyday people save money, time and agony in their financial lives.

Team Description

The Operational Risk Analytics, Innovation, and Reporting team owns and drives end-to-end data analysis and reporting of Capital One’s operational risk performance, delivering critical insights to Senior Executives and the Board. The team is responsible for the governance, monitoring, and analysis of operational risk data, as well as developing data-driven insights to inform strategic risk management decisions and practices. As a Senior Data Scientist you’ll be part of a team that’s leading the next wave of disruption in risk data at a whole new scale. You will use the latest in computing and machine learning technologies to unlock the big opportunities that help drive efficiency and improve risk management, and you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you.

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.
• 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 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 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 of experience in Python, Scala, or R
• At least 2 years of experience with machine learning
• At least 2 years of experience with SQL

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

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. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science

New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science

Richmond, VA: $123,300 - $140,700 for Sr Assoc, Data Science

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