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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Associate, Data Scientist - Operational Risk Management - **Company:** Capital One Financial Corporation - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Python (Programming Language), Machine Learning, Standard Sql, Sentiment Analysis, Apache Spark, Deep Learning, Generative AI, Data Analytics - **Published:** August 9, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/senior-associate-data-scientist-operational-risk-management-new-york-ny-usa-58867419 ## About the Role Risk field with 2+ years of data analytics experience or Master in a quantitative field or MBA with quantitative concentration, * Experience with AWS * At least 2 years of experience with Python, Scala, or R * At least 2 years of experience with machine learning * Experience with SQL * Experience with clustering, classification, sentiment analysis, time series, and deep learning * Ability to retrieve, combine, and analyze data from diverse sources and structures * Familiarity with evaluating models (confusion matrix, ROC) and backtesting Key requirements * Health benefits * Competitive salary by location * Performance-based incentive compensation * Inclusive, supportive culture * Career growth opportunities * Sponsorship available for qualified applicants ## Description Experteer Overview In this role you will be a data science builder focused on operational risk analytics at scale. You will work with a cross-functional team to turn data into strategic risk insights that inform governance and decision-making. You will experiment with cutting-edge ML techniques and NLP/Generative AI to deliver next-generation risk features. The role combines technical execution with clear storytelling to drive business impact and risk management improvements. Compensation / Benefits * Collaborate with data scientists, software engineers, and product managers to deliver a product customers love * Leverage a broad tech stack (Python, Conda, AWS, H2O, Spark, and more) to extract insights from large numeric and textual datasets * Build machine learning models through all development phases: design, training, evaluation, validation, and deployment * Translate complex technical work into tangible business goals through strong communication Tasks * Bachelor in a quantitative field with 2+ years of data analytics experience or Master in a quantitative field or MBA with quantitative concentration * Experience with AWS * At least 2 years of experience with Python, Scala, or R * At least 2 years of experience with machine learning * Experience with SQL * Experience with clustering, classification, sentiment analysis, time series, and deep learning * Ability to retrieve, combine, and analyze data from diverse sources and structures * Familiarity with evaluating models (confusion matrix, ROC) and backtesting Key requirements * Health benefits * Competitive salary by location * Performance-based incentive compensation * Inclusive, supportive culture * Career growth opportunities * Sponsorship available for qualified applicants ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Detecting Money Laundering with AI](https://www.wearedevelopers.com/videos/111-detecting-money-laundering-with-ai) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria)