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How much do cash flow jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for cash flow in the United States is $28.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $35.82 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals managing cash flow, and how can these be addressed in a business environment?

Professionals managing cash flow often face challenges such as accurately forecasting incoming and outgoing funds, dealing with late payments from customers, and balancing short-term obligations with long-term financial stability. These challenges can be addressed by implementing robust financial tracking systems, maintaining open communication with clients and suppliers, and regularly reviewing cash flow projections. Collaboration with accounting teams and other departments is also essential to ensure data accuracy and to proactively identify potential cash shortfalls.

What are the key skills and qualifications needed to thrive as a Cash Flow Analyst, and why are they important?

To thrive as a Cash Flow Analyst, you need strong analytical skills, financial modeling expertise, and a background in finance or accounting, often supported by a relevant degree. Proficiency with Excel, financial planning software (such as SAP or Oracle), and sometimes certifications like CFA or CPA is valuable. Attention to detail, problem-solving abilities, and clear communication are standout soft skills in this role. These competencies are crucial for accurately forecasting cash positions, optimizing liquidity, and supporting sound financial decision-making.

What is a cash flow specialist?

A cash flow specialist is a finance professional who helps individuals or businesses manage the movement of money in and out of their accounts. Their main role is to analyze, forecast, and optimize cash flow to ensure there are enough funds to cover expenses and investments. They often create cash flow projections, identify potential shortfalls, and suggest strategies for improving liquidity. Cash flow specialists may work with accountants, business owners, or financial advisors to ensure financial stability.

What is the difference between Cash Flow vs Accounts Payable Specialist?

AspectCash FlowAccounts Payable Specialist
Primary FocusManaging overall cash inflows and outflows to ensure liquidityProcessing and managing outgoing payments to vendors and suppliers
Required SkillsFinancial analysis, cash management, forecastingInvoice processing, vendor communication, accounting software proficiency
Work EnvironmentFinance departments, corporate officesAccounting departments, finance teams
CertificationsFinancial certifications helpful (e.g., CFA, CPA)Accounting certifications (e.g., CPA, AAP)

While Cash Flow professionals focus on managing the company's overall liquidity and financial health, Accounts Payable Specialists handle specific outgoing payments to vendors. Both roles are essential in maintaining a company's financial stability but differ in scope and daily responsibilities.

More about Cash Flow jobs
What are the most commonly searched types of Cash Flow jobs? The most popular types of Cash Flow jobs are:
What states have the most Cash Flow jobs? States with the most job openings for Cash Flow jobs include:
What job categories do people searching Cash Flow jobs look for? The top searched job categories for Cash Flow jobs are:
Cash Flow jobs near you
Infographic showing various Cash Flow job openings in the United States as of July 2026, with employment types broken down into 46% Full Time, 51% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $58,459 per year, or $28.1 per hour.
Senior Manager, Data Science - Cash Flow Underwriting

Senior Manager, Data Science - Cash Flow Underwriting

Capital One

Chicago, IL • On-site

Full-time

Re-posted 26 days ago

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

72nd of 145 rated banks

Job description

Senior Manager, Data Science - Cash Flow Underwriting

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

Team Description

We are looking for a highly skilled Data Scientist leader to lead our Cash Flow Underwriting Team. This role is centered on leveraging advanced machine learning techniques to identify and engineer the predictive signals that power our risk and usage models.

As a People Lead, you will be responsible for guiding a team of specialists to uncover non-obvious patterns in cash flow and transaction data through sophisticated methodology. Beyond technical mentorship, you will drive strategic planning for the team's roadmap, ensuring close alignment with stakeholders across the organization. You will also be expected to oversee project management for end-to-end model development, transforming raw banking data into high-value features that accurately forecast creditworthiness and customer behavior.

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:

  • 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.

  • 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.

  • 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.

Chicago, IL: $209,000 - $238,500 for Sr Mgr, Data Science


McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science


New York, NY: $250,800 - $286,200 for Sr 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 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 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 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

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).

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