Manager, Data Scientist Card Payment Fraud Prevention

Manager Data Scientist - Card Payment Fraud Prevention

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 on the Card Payment Fraud Prevention team youll lead the charge against first-party fraud. You will build and deploy mission-critical machine learning models that operate across billions of transactions to secure the entire credit card portfolio. You will research build and deploy advanced machine learning solutions using a cutting-edge tech stack. Your work will directly translate to massive financial protection and business value from reduced credit losses. The mission includes optimizing models for highly challenging and expanding segments to improve fraud capture rates and enhance customer safety.

Team Description

The Card Payment Fraud Prevention data science team detects and mitigates first-party fraud by building and deploying machine learning models that keep customer accounts safe and compliant. Leveraging big data and a modern tech stackincluding Python Spark Ray H2O PyTorch and Kubernetesthe 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.

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 monitoring and supporting continuous model deployment and maintenance in a production environment.

• Collaborate on the design and maintenance of production data science solutions including writing clear technical documentation and ensuring models adhere to software development best practices.

• Manage model risk and maintain regulatory compliance across the model lifecycle which includes maintaining model inventory records executing model testing and change control protocols and collaborating on independent model validation and compliance risk assessments.

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• An expert. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You rapidly come up to speed to pair technical skills with subject matter expert in your domain conveying knowledge and shaping next steps for both you and the team you work in.

• Technical. Youre comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools cloud computing platforms Objected-Oriented Programming (OOP) principles and testing frameworks.

• Statistically-minded. Youve 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 time series and common ML modeling methodologies particularly black box models like GBMs.

• A data guru. Big data doesnt 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 Bachelors Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 6 years of experience performing data analytics

  • A Masters 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 4 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 1 year of experience performing data analytics

• At least 1 year of experience leveraging open source programming languages for large scale data analysis

• At least 1 year of experience working with machine learning

• At least 1 year of experience utilizing relational databases

Preferred Qualifications:

• PhD in STEM field (Science Technology Engineering or Mathematics) plus 3 years of experience in data analytics

• At least 1 year of experience working with AWS

• At least 4 years experience in Python for large scale data analysis

• At least 4 years experience with machine learning specifically developing models that have gone into production

• At least 4 years experience with SQL

• Demonstrated experience with big data and distributed computing using Spark or another comparable framework

• Demonstrated experience with model risk governance

• Demonstrated experience technically leading and developing a team

• Demonstrated experience with both traditional machine learning and emerging GenAI techniques with primary focus on traditional ML model development not GenAI-only experience

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.

Chicago IL: $179400 - $204700 for Mgr Data Science

McLean VA: $197300 - $225100 for Mgr Data Science

New York NY: $215200 - $245600 for Mgr Data Science

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 candidates 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 theCapital 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 Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal state and local laws and regulations regarding criminal background inquiries.

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).