Mr. Data Scientist

Company Description

Visa is a global leader in digital payments, conducting over 215 billion payment transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payment network, thereby empowering individuals, businesses, and economies to flourish.

When you become part of Visa, you join a culture of purpose and belonging – where your growth is prioritized, your individuality is welcomed, and your work is meaningful. We believe that economies that include everyone, everywhere, benefit everyone, everywhere. Your work will have a direct impact on billions of people worldwide – helping to facilitate financial access and shape the future of monetary transactions.

Join Visa: A Network Working for Everyone.

Job Description

Visa Inc. is a global payments technology company that connects consumers, businesses, financial institutions, and governments in more than 200 countries and territories, enabling them to use digital currency instead of cash and checks.

Visa Consulting and Analytics (VCA), Visa’s consulting division, is composed of a global team of industry experts in strategy, marketing, operations, risk, and economics consulting, with significant experience in the payment industry.

Our VCA teams offers:

• Consulting services tailored to the needs of Visa's clients' business objectives and strategy.

• Business and economic insights and perspectives that impact business and investment decisions.

• DIY digital solutions that Visa clients can use to improve performance in product, marketing, and operations.

• Proven data-driven marketing strategies to increase clients' ROI.

The ideal candidates are problem solvers with robust analytical & quantitative skills capable of addressing key strategic needs for Visa's clients including issuers, acquirers, and merchants.

Skilled at creative and critical thinking, they can break down problems and convert insights into cutting-edge, large-scale solutions. Candidates must be quick learners with a strong sense of personal responsibility.

Responsibilities

• Develop and nurture exceptional internal client relationships.

• Develop and deploy analytical models and techniques within the organization and VCA's clients, including issuers, acquirers, and merchants.

• Work with mass volumes of data to extract and manipulate large datasets using standard tools such as the Hadoop Ecosystem, , SAS, Presto, SQL, etc.

• Have practical skills in cleaning, manipulating, analyzing, and visualizing large data sets.

• Data Cleansing/Wrangling – Parsing and aggregating untidy, incomplete, and unstructured data sources to produce datasets usable in analytics/predictive modeling.

• Develop and validate advanced data mining tools, algorithms, and other capabilities to solve business problem.

• Use Visa's data and analytic capabilities, technology, and industry expertise to develop, standardize, and implement the consulting analytical solutions.

• Identify relevant market trends based on a thorough analysis of payment industry information. Collaborate with various internal and external stakeholders for the strategic definition of analysis and initiatives.

• Continuously develop and introduce innovative concepts to improve current business practices within Visa.

• Run client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, expenditure levels, fraud, credit risk, and financial information.

• Effectively communicate complex ideas and the results of analyses.

• Support technical knowledge transfer to ease the implementation of the proposed business solution.

• Document all completed projects and write additional documentation as necessary. Identify and share best practices for central topics.

This is a hybrid role. Hybrid employees can split their time between working remotely and from the office. Employees in hybrid roles are expected to work from the office 2-3 set days per week (as determined by leadership/site), aiming to be in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications

• 5 years or more of related work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years of work experience with a Ph.D.

Preferred Qualifications

• 6 years or more of related work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 3 or more years of experience with a Ph.D.
• BA/BS required. A Master's degree is preferred (e.g., Statistics, Computer Science, Engineering, or related fields).

• 6-8+ years of overall experience, preferably with a minimum of 5 years in the Banking or Payments Industry.
• High interest in the future of payments is required.
• Experience in retail banking, payments, financial services, and/or technology industries
• Past proven experience in Credit Risk or Fraud Prevention to manage and develop policies, ad-hoc analysis, or models.
• Demonstrated hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.g., K-means), Classification methods (Decision Trees/Random Forest), among others.
• Experience working with large volumes of data (Big Data) - extracting, cleaning, and manipulating large datasets using standard tools such as Python/PySpark, SQL, Hadoop/Hive, Presto, SAS, etc.
• Familiarity with visualization tools such as Tableau or PowerBI.
• Continually develop and present innovative ideas based on a data-driven approach to improve current business practices within Visa, specifically within the Risk Practice.
• Excellent project management, organizational, and presentation skills.
• Strong teamwork, relationship management, and interpersonal skills.
• Able to manage multiple projects simultaneously while meeting required deadlines.
• Fluency in English/Portuguese (spoken/written), Spanish is a plus

Additional Information

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.