Jobs at Visa
Visa is a global payments technology leader that powers everyday digital transactions for consumers, merchants, and financial institutions. With operations in over 200 countries, Visa invests heavily in secure, scalable software that supports billions of payments each month.
Tech roles at Visa span software engineering, data science, cybersecurity, product management, infrastructure, and AI/ML. Candidates can expect rigorous technical interviews, a culture that rewards innovation, and opportunities to work on high‑impact systems that touch millions of users.
Job Transparency provides Visa listings with fully disclosed salary ranges, employee satisfaction metrics, and recent interview feedback. This data lets you benchmark offers, identify the most competitive teams, and negotiate with confidence.
Sr. Financial Analyst, Corporate FP&A
Company: Visa Inc,
Location: San Francisco, CA
Posted Apr 15, 2024
Visa is seeking a Senior Financial Analyst for its Corporate FP&A team. The role involves supporting annual budgeting, quarterly forecasting, financial reporting, and reviews of key financial metrics. The analyst will also create Visa Inc quarterly Board and Earnings materials, provide analytical support for executive ad-hoc analysis, and participate in company-wide projects. The position is hybrid, requiring 2-3 set days in the office per week. Qualifications include 5+ years of relevant work experience with a Bachelor's degree, or 2+ years with an advanced degree. Preferred qualifications include experience in FP&A, Investment Banking, Consulting, or Public Accounting, and expert level Excel skills.
Pricing & Deal Performance Lead
Company: Visa Inc,
Location: San Francisco, CA
Posted Mar 22, 2024
Visa, a global leader in payments and technology, is seeking a seasoned professional with extensive experience in management consulting, corporate strategy, or payments VAS. The role involves developing data collection and analysis systems for pricing and deal performance, tracking their impact on sales, margins, and processes, and assembling this intelligence into dashboards and reporting tools. The candidate will collaborate with various internal teams, serve as a thought partner to the VP of Pricing and Deals, and support projects on strategy development and assessments of large opportunities. This is a hybrid position requiring travel 5-10% of the time and offering a competitive salary range of $192,700.00 to $265,000.00 USD per year.
Senior Finance Director - Visa Value-Added Services
Company: Visa Inc,
Location: Peninsula
Posted Mar 21, 2024
Visa is seeking a strategic finance leader for its Value-Added Services team, specifically for the Risk and Identity Solutions Product team. The Senior Director will collaborate with executives and operational teams to develop financial strategies and analytics, drive insights, and manage a team. The ideal candidate should have extensive experience in financial and general business analysis, preferably in a public company setting, and strong influence management skills. The role involves strategic advice, financial management, project management, business engagement, and people management. The position is hybrid, requiring 2-3 set days in the office per week. Qualifications include 12+ years of work experience with a Bachelor's degree or 10+ years with an advanced degree, a highly analytical background, and experience leading a Financial Planning & Analysis team.
Senior Data Engineer – MLOps
Company: Visa Inc,
Location: Peninsula
Posted Apr 28, 2024
<p><b>Company Description<b> <p><p>Visa is a world leader in payments and technology with over 259 billion payments transactions flowing safely between consumers merchants financial institutions and government entities in more than 200 countries and territories each year Our mission is to connect the world through the most innovative convenient reliable and secure payments network enabling individuals businesses and economies to thrive while driven by a common purpose to uplift everyone everywhere by being the best way to pay and be paid<p> <p>Make an impact with a purposedriven industry leader Join us today and experience Life at Visa<p> <p><b>Job Description<b> <p><p>To ensure that Visas payment technology is truly available to everyone everywhere requires the success of our key bank or merchant partners and internal business units The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners We work in complementary teams comprising members from Data Science and various groups at Visa To support our rapidly growing group we are looking for data engineers who are equally passionate about the opportunity to use Visas rich data to tackle meaningful business problems<p> <p>This position will be part of VCA Visa Consulting amp Analytics function in building and maintaining global data assets and engineering solutions In this role you will be responsible for helping to develop a global engineering and solutions team focused in standardized development of Consulting Solutions You will partner closely with Global stake holders in Visa consulting data Science and data engineering teams You will get chance to leverage your strategic planning business analysis and technical knowledge of data engineering tools and data architecture solutions In addition to managing our portfolio of data engineering assets and solutions globally you will play key roles in building relationships with Consulting partners to develop effective market response strategies You will also be a handson expert able to direct amp navigate both data engineering and data science teams to build effective data engineering solutions The ideal candidate will have a mix background with data engineering data science and machine learning engineer<p> <p>Essential Functions<p> <ul><li>Build MLOps pipelines to support model development model production model validation model performance monitoring model recalibration continuous integration continuous delivery of AIML models<li> <li>New model development and existing model retraining performance evaluation and score optimization Preferable to have data science knowledge and experience in designing developing and implementing Deep Learning methodologies and newer ML model implementations at scale<li> <li>Build and maintain high performing ETL processes including data quality and testing aligned across technology internal reporting and other functional teams<li> <li>Build ETL pipelines in Spark Python HIVE or Scala that process transaction and account level data and standardize data fields across various data sources<li> <li>Exposure to model management and governance practices Ability to take decisions around model drift to monitor and refine models continuously<li> <li>Create data dictionaries setupmonitor data validation alerts and execute periodic jobs like performance dashboards predictive models scoring for clients deliverables<li> <li>Define and build technicaldata documentation and experience with code version control systems for eg git Ensure data accuracy integrity and consistency<li> <li>Strong understanding of development and implementation aspects of MLAI especially on billionscale datasets Ability to take small scale developed models as input and implement with requisite configuration and customization while maintaining model performance<li> <li>Should have strong problemsolving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership<li> <ul><p>This is a hybrid position Hybrid employees can alternate time between both remote and office Employees in hybrid roles are expected to work from the office 23 set days a week determined by leadershipsite with a general guidepost of being in the office 50 or more of the time based on business needs<p> <p><b>Qualifications<b> <p><p><strong>Basic Qualifications<strong><p> <ul><li>5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree eg Masters MBA JD MD or 0 years of work experience with a PhD<li> <ul><p><br ><strong>Preferred Qualifications<strong><p> <ul><li>6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree eg Masters MBA JDMD or up to 3 years of relevant experience with a PhD<li> <li>Minimum of 5+ years of work experience with a Bachelors Degree or 3+ years of experience with a Masters or Advanced Degree in a Quantitative field such as Statistics Mathematics Operational Research Computer Science Economics Engineering or equivalent with analytics expertise in applying statistical solutions to business problems<li> <li>Working knowledge of Hadoop ecosystem and associated technologies For eg Apache Spark MLlib GraphX iPython scikit Pandas etcBusiness Skills and General Qualities<li> <li>Good business acumen to orient data analysis to business needs of clients<li> <li>Ability to translate data and technical concepts into requirements documents business cases and user stories<li> <li>Good understanding of agile working practices and related program management skills<li> <li>Good communication and presentation skills with ability to interact with different crossfunctional team members at varying levels<li> <li>Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere<li> <li>Demonstrated intellectual and analytical rigor team oriented energetic collaborative diplomatic and flexible style<li> <li>Strong written verbal and interpersonal skills needed to effectively communicate technical insights and recommendations with business customers and leadership team<li> <li>Intellectually curious and continuously striving to learn<li> <ul><p><strong>Technical Skills<strong><p> <ul><li>Expert knowledge in Deep Learning techniques and exploring newer approaches like federated learning and transfer learning<li> <li>Strong programming ability in different programming languages such as Spark Python SQL Scala<li> <li>Experience working with Airflow Github for building and maintain ETL pipeline<li> <li> Proficient in some or all of the following techniques Linear amp Logistic Regression Decision Trees XG Boost Random Forests KNearest Neighbors Markov Chain Monte Carlo Gibbs Sampling Evolutionary Algorithms Support Vector Machines<li> <li>Proficient in advanced data mining and statistical modeling techniques including Predictive modeling eg binomial and multinomial regression ANOVA Classification techniques eg Clustering Principal Component Analysis factor analysis Decision Tree techniques eg CART CHAID<li> <li>Experience working with large scale data ingestion processing and storage in distributed computing environments big data platforms Hadoop as well as common database systems and value stores Parquet Avro HBase etc<li> <li>Familiarity with both common computing environments eg Linux Shell Scripting and commonly used IDEs Jupyter Notebooks<li> <li>Experience working in building and integrating the code in the defined CICD framework using git<li> <li>Preferred experience with Visualization Tools like Tableau Power BI and D3<li> <ul><p><b>Additional Information<b> <p><p><strong><u>Work Hours<u><strong> Varies upon the needs of the department<p> <p><strong><u>Travel Requirements<u><strong> This position requires travel 510 of the time<p> <p><strong><u>MentalPhysical Requirements<u><strong> This position will be performed in an office setting The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers<p> <p>Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law<p> <p>Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code<p> <p><strong>US APPLICANTS ONLY The estimated salary range for a new hire into this position is 14460000 to 18800000 USD per year which may include potential sales incentive payments if applicable Salary may vary depending on jobrelated factors which may include knowledge skills experience and location In addition this position may be eligible for bonus and equity Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 k FSAHSA Life Insurance Paid Time Off and Wellness Program<strong><p>
Lead System Architect - Azure
Company: Visa Inc,
Location: Other US Location
Posted Apr 15, 2024
Visa, a global leader in digital payments, is seeking a Lead System Architect with extensive experience in Microsoft Azure public cloud. The role involves designing and implementing projects, defining architecture, and documenting non-functional requirements. The candidate will collaborate with various teams to define hybrid cloud solutions, ensuring security, scalability, and high availability. The ideal candidate should have a positive attitude, excellent communication skills, and advanced cloud certifications. The position is hybrid, requiring 2-3 set days in the office per week.
Senior Manager, Sales Operations
Company: Visa Inc,
Location: Miami, FL
Posted Mar 22, 2024
Visa, a global leader in payments and technology, is seeking a Senior Manager for its Value Added Services team in LAC. The role involves shaping sales communications, driving sales enablement, and ensuring a consistent client experience. Key responsibilities include facilitating weekly Hot Topics briefings, reviewing and distributing sales briefing memos, hosting ad hoc calls, leading client marketing socialization, and managing internal sales enablement web pages. The ideal candidate should have 8+ years of relevant experience, excellent communication skills, and proficiency in PowerPoint, Word, and Excel. This is a hybrid role requiring 2-3 office days per week and occasional travel.
Senior Software Engineer- Visa Developer Platform
Company: Visa Inc,
Location: Austin, TX
Posted Mar 22, 2024
Visa is seeking a Senior Software Engineer-Full Stack for the Austin PPD org. The role involves developing, testing, and deploying sophisticated business solutions, understanding requirements, and delivering app features. The ideal candidate should have experience with Java, Angular, Node, and JPA, and be comfortable with Test Driven Development. This is a hybrid position requiring 2-3 days in the office per week. Visa offers a competitive salary and comprehensive benefits package.
Manager - Anomaly Detections Platforms (ADP)
Company: Visa Inc,
Location: Peninsula
Posted Mar 22, 2024
Visa is seeking a seasoned professional with 5+ years of experience in fraud detection and prevention, particularly in the payment card or information security industry. The role involves developing and automating key attack intelligence capabilities, building and experimenting with modeling and scoring algorithms, and leading a global team of analytical professionals. The ideal candidate should have proficiency in Python, SQL, and Splunk, and a strong understanding of transactions, systems processing transactions, and overall transaction process. The position is hybrid, requiring the employee to work from the office 2-3 set days a week. The estimated salary range is 132,300.00 to 191,800.00 USD per year.
Associate Risk Operations Analyst
Company: Visa Inc,
Location: Greater Denver Area
Posted Apr 25, 2024
Visa is seeking an Associate Risk Operations Analyst for its Risk Operations Center (ROC), a 24/7 team focused on identifying and mitigating high-impact fraud attempts. The role involves monitoring, incident review, escalation, and documentation of alerts. The ideal candidate should have excellent communication skills, data analytics experience, and knowledge of transactions and fraud techniques. The position requires shift work, flexibility, and the ability to multitask. Visa offers a competitive salary, comprehensive benefits, and opportunities for career growth.
Senior Product Marketing Manager, B2B Web Content
Company: Visa Inc,
Location: Peninsula
Posted Apr 25, 2024
Visa is seeking a highly motivated and experienced Senior Product Marketing Manager for B2B Web Content. The ideal candidate will develop and manage a comprehensive B2B Web content strategy, collaborate with various stakeholders, and mentor marketing managers. The role involves creating engaging content, measuring performance, and staying updated on industry trends. The position is hybrid, requiring 2-3 days in the office per week and occasional travel. The estimated salary range is $147,700 to $192,000 per year.
Sr. Sales Executive - Small Business (SMB) Solutions Sale
Company: Visa Inc,
Location: New York City, NY
Posted Mar 21, 2024
Visa, a global leader in payments and technology, is seeking a Senior Director, Small Business Solutions Sales. The role involves leading a team of sales specialists, managing key clients, driving sales, and fostering deep client engagements. The ideal candidate should have extensive experience in the card payments industry, strong sales leadership skills, and the ability to interpret data and translate findings into strategic insights. The position requires travel up to 25% of the time and offers a competitive salary range of $227,700.00 to $410,200.00 USD per year.
Sr. Director, Value-Added Services (VAS) Product Development (PD) Strategy & Operations
Company: Visa Inc,
Location: Peninsula
Posted Apr 15, 2024
Visa is seeking a seasoned leader to head the product development strategy and operations function within VAS Product Development. The role involves driving the strategic direction for VAS PD, ensuring operational excellence, assisting with investment strategy, and executing key initiatives. The ideal candidate should have a deep understanding of global payment products, payment technology landscape, software development processes, M&A related investment strategies, and Generative AI. They should also have a proven track record of leading successful teams and driving change. The role requires a hands-on approach, courageous innovation, authentic leadership, diversity of thought, high ethical standards, learning agility, entrepreneurial spirit, and a servant leadership mentality.