Senior Manager, Data Scientist - Card Fraud Prevention

Capital One Group; New York (NY); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is recruiting a Senior Manager, Data Scientist for Card Fraud Prevention in New York, NY. This role leads data science initiatives that detect and mitigate fraud using machine learning at scale.

You will collaborate with engineers, product managers, and data scientists to deliver production-ready models and insights. The ideal candidate combines strong leadership with hands-on expertise in Python, ML, AWS, and modern big data tools, driving impactful fraud prevention solutions for

Qualifications

• Bachelor's degree in a quantitative field plus 7+ years of data analytics experience
• Master's degree in quantitative field or MBA with quantitative concentration plus 5+ years of data analytics experience
• PhD in quantitative field plus 2+ years of data analytics experience
• 2+ years of experience with open source languages for large-scale data analysis
• 2+ years of experience with machine learning
• 2+ years of experience using relational databases

Responsibilities

• Partner with cross-functional teams to deliver data science products loved by customers
• Leverage Python, AWS, Spark, H2O, and other tools to analyze large text and numeric datasets
• Build machine learning models through all development phases: design, training, evaluation, validation, implementation
• Translate complex work into tangible business goals for stakeholders

Skills

Python

Spark

Machine learning

Relational databases

Education

Bachelor's degree in quantitative field

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

PhD in STEM field

Tools

AWS

H2O

PyTorch

Kubernetes

Ray

Conda

Job description

## Senior Manager, Data Scientist - Card Fraud PreventionApplylocations: McLean, VA: New York, NYtime type: Full timeposted on: Posted Todayjob requisition id: R248871Senior Manager, Data Scientist - Card Fraud PreventionData 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 Card Fraud Prevention data science team detects and mitigates fraud by building and deploying machine learning models that keep customer accounts safe and compliant. Leveraging big data and a modern tech stack—including Python, Spark, Ray, H2O, PyTorch, and Kubernetes—the team delivers production-ready insights with a focus on both speed and sustainable impact, combining deep experience in traditional ML with an appetite for AI-based development.****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:***** Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.* 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.* A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.* 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 7 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 5 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) plus 2 years of experience performing data analytics* At least 2 years of experience leveraging open source programming languages for large scale data analysis* At least 2 years of experience working with machine learning* At least 2 years of experience utilizing relational databases****Preferred Qualifications:***** PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics* At least 1 year of experience working with AWS* At least 1 year of experience managing people* At least 5 years’ experience in Python, Scala, or R for large scale data analysis* At least 5 years’ experience with machine learning**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: $229,900 - $262,400 for Sr Mgr, Data ScienceNew York, NY: $250,800 - $286,200 for Sr Mgr, 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]