Company DescriptionVisa 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.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.Job DescriptionThe ideal candidates are problem solvers, equipped with strong analytical & quantitative skills suited to address key strategic needs for Visa's clients including issuers, acquirers, and merchants.Adept at creative and critical thinking, they are able to deconstruct problems and transform insights into large scale, state-of-the-art solutions. Candidates must be quick learners with a strong sense of personal responsibility.ResponsibilitiesDevelop and grow 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 large volumes of data, extracting and manipulating large datasets using standard tools such as Hadoop Ecosystem, PySpark, SAS, Presto, SQL, etc.Hands-on skills in cleaning, manipulating, analyzing, and visualizing large data sets.Data Cleansing/Wrangling – This involves parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in analytics/predictive modeling.Develop and validate advanced data mining tools, algorithms, and other capabilities to solve business problems.Utilize 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 deep analysis of payment industry information. Interact with several internal and external stakeholders for the strategic definition of analysis and initiatives.Continuously develop and present innovative ideas to improve current business practices within Visa.Perform client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, spend levels, fraud, credit risk, and financial information.Communicate complex concepts and the results of the analyses in a clear and effective manner.Support the transfer of technical knowledge to facilitate the implementation of the business solutions provided.Document all projects developed and write other documentation as needed. Identify and share best practices for key topics.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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.Qualifications• BA/BS required; Master's degree preferred (e.g., Statistics, Computer Science, Engineering, or related fields).• 6+ years of overall experience with a preferred minimum of 4 in Banking or Payments Industry.• Strong interest in the future of payments is a must.• Experience in retail banking, payments, financial services, and/or technology industries.• Proven experience in Credit Risk or Fraud Prevention to manage and develop policies, ad-hoc analysis, or models.• 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.• Knowledge of visualization tools such as Tableau or PowerBI.• Continuously develop and present innovative ideas based on a data-driven approach to improve current business practices within Visa, more specifically within the Risk Practice.• Excellent project management, organizational, and presentational skills.• Strong teamwork, relationship management, and interpersonal skills.• Ability to multi-task various projects while meeting required deadlines.• Fluency in English (spoken/written); Spanish is a plus.Additional InformationVisa 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.
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