Senior Associate, Data Scientist - Operational Risk Management

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

Job summary

Capital One is seeking a Senior Associate Data Scientist for Operational Risk Management in New York, NY, with responsibilities spanning modeling, MLOps, and risk analytics. You will partner with data scientists, engineers, and product managers to turn data into strategic insights and risk improvements.

The role requires hands-on experience with Python/SQL and cloud platforms, applying NLP or generative AI techniques to real-world risk data at scale.

Qualifications

• Bachelor's or Master's in a quantitative field (Statistics, Economics, OR/MS, Analytics, Mathematics, CS) with required experience.
• Master's or MBA with quantitative concentration preferred.
• Experience with AWS, Python, ML, and SQL recommended.

Responsibilities

• Partner with cross-functional teams to deliver data science solutions.
• Leverage a broad tech stack (Python, Conda, AWS, H2O, Spark) to extract insights.
• Build ML models through design, training, evaluation, and deployment.
• Translate complex analyses into clear business outcomes.

Skills

Python

SQL

Machine Learning

AWS

R/Scala

NLP

Generative AI

Education

Bachelor's degree in a quantitative field

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

Tools

Python

Conda

AWS

H2O

Spark

Job description

## Senior Associate, Data Scientist - Operational Risk ManagementApplylocations: New York, NY: McLean, VA: Richmond, VAtime type: Full timeposted on: Posted Todayjob requisition id: R248360Senior Associate, Data Scientist - Operational Risk ManagementData 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 SQLCapital 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: $135,600 - $154,800 for Sr Assoc, Data ScienceNew York, NY: $148,000 - $168,900 for Sr Assoc, Data ScienceRichmond, VA: $123,300 - $140,700 for Sr Assoc, Data ScienceCandidates 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.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.This role is expected to accept applications for a minimum of 5 business days.No agencies please. 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.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]