As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive.
Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second.
The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere.
As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace.
We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.
You're an Individual. We're the team for you. Together , let's transform the way the world pays.
Job Description and Responsibilities
Visa Consulting and Analytics (VCA), the consulting arm of Visa, is a global team of industry experts in strategy, marketing, operations, risk and economics consulting, with decades of experience in the payments industry.
Our VCA teams offers :
Consulting services customized to the needs of Visa client’s business objectives and strategy
Business and economic insights and perspectives that impact business and investment decisions
Self-service digital solutions Visa clients can leverage to improve performance in product, marketing and operations
Proven data-driven marketing strategies to increase clients’ ROI
VCA team is looking for an individual to join our consulting practice and play a role developing high impact projects for Visa’s clients in Caribbean and Central American Countries.
This potential candidate will be responsible for developing and implementing statistical modeling to address key strategic needs for Visa’s clients including issuers, acquirers and merchants.
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; extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), SAS, SQL, etc.
Hands-on skills in cleaning, manipulating, analyzing, and visualizing large data sets.
Data Cleansing / Wrangling This involve parsing and aggregating messy, incomplete, and unstructured data sources to produce data sets that can be used in analytics / predictive modeling.
Develop and validate advance analytics models, algorithms, and other capabilities to solve business problem.
Utilize Visa's data and analytic capabilities, technology, and industry expertise to develop, standardized and implement the consulting analytical solutions.
Identify relevant market trends by country, based on a deep analysis of payment industry information. Interacting with several internal and external stakeholders for the strategic definition of analysis and initiatives.
Continuously develop and present innovative ideas in order to improve current business practices within Visa.
Perform client-specific analysis on portfolio data including proprietary information, such as customer demographics, activity, spend levels and financial information.
Communicate complex concepts and the results of the analyses in a clear and effective manner.
Support transfer technical knowledge to facilitate implementation of the business solution provided.
Document all projects developed, including clear and efficient coding, and write other documentation as needed.
Identify and share best practices for key topics
4 years of work experience with a Bachelor’s Degree (eg : Statistics, Computer Science, Engineering or other related fields) or at least 2 years of work experience with an Advanced degree (e.
g. Masters, MBA, JD, MD)
7-10 years of work experience and a Bachelor’s Degree or 6 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
Previous exposure (minimum of 5 years of work experience) to financial services / banking, credit cards or retailer / merchant analytics.
Strong interest in the future of payments is a must.
Experience in retail banking, payments, financial services, and / or technology industries is a plus.
Hands-on experience extracting and manipulate large datasets (Big Data) using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), SAS (E.
Guide, Macro programming), SQL, etc.
Hands-on experience in advanced analytics and statistical modeling including Linear Regression, Logistic Regression, Clustering methods (e.
g. K-means), Classification models, among others.
Hands-on experience developing Machine Learning models is a plus (Random Forest, Gradient Boosting, SVM, ANN) using Python (scikit-learn), R, Spark MLlib.
Hands-on Experience with data visualization and tools like Tableau and Power BI.
Translate data analysis insights to a business language.
Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa.
Excellent project management, organizational and presentational skills.
Knowledge of Agile methodology and scrum practices.
Proven ability to quickly learn and apply new techniques.
Ability to multi-task various projects while meeting required deadlines.
Strong teamwork, relationship management and interpersonal skills.
Bilingual Spanish / English (spoken / written).
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, and reach with hands and arms.
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