Manager, Visa Consulting and Analytics (VCA), Intelligence & Data Solutions (IDS), Data Science

Visa; Região Geográfica Intermediária de São Paulo; Híbrido; BRL 300 000 - 500 000; Tempo integral

Resumo da oferta

A global payments technology leader is seeking an experienced analytics professional to join their hybrid team in São Paulo. This role involves developing advanced analytical models and managing stakeholder relationships across various sectors while leveraging large datasets and driving strategic insights. Candidates should possess a minimum of 6 years of professional experience, ideally in banking or payments, and have advanced skills in analytics and statistical modeling. This position challenges you to innovate within the financial ecosystem, promoting efficiency and client value.

Qualificações

• Minimum 6 years professional experience, 4 years in banking or payments.
• Demonstrated expertise in predictive modeling and data analysis.
• Strong understanding of credit risk and fraud prevention strategies.
• Experience with Big Data tools and Python/PySpark, SQL, Hadoop or Hive, Presto, SAS.

Responsabilidades

• Lead stakeholder relationships across internal and Visa clients.
• Build and deploy analytical and AI/ML models for clients.
• Work with large datasets, ensuring high-quality data for insights.
• Develop predictive models and analytical capabilities for business.
• Communicate analytical concepts effectively to non-technical audiences.
• Propose innovative ideas to enhance operational efficiency.
• Identify market trends, generate insights to inform strategic decisions in payments.
• Communicate complex analytics clearly to executive audiences; support knowledge transfer.

Conhecimentos

Advanced analytics and statistical modeling

Experience in banking or payments

Data visualization (Tableau, Power BI)

Credit Risk or Fraud Prevention

Project management

Strong teamwork and interpersonal skills

Fluency in English

Pyspark

Formação académica

BA or BS in relevant fields

Master’s degree preferred

Ferramentas

Python

PySpark

SQL

Hadoop

SAS

Descrição da oferta de emprego

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.

Make an impact with a purpose‑driven industry leader. Join us today and experience Life at Visa.

Team Description

Visa Consulting and Analytics (VCA) is the consulting arm of Visa and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments.

The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability.

Job Description

• Lead, develop, and strengthen high‑impact stakeholder relationships across internal teams and Visa clients.
• Build and deploy advanced analytical and AI/ML models across Visa and VCA clients (issuers, acquirers, merchants), following AI‑First principles.
• Work with large‑scale, complex datasets, extracting, cleansing, transforming, and manipulating data using tools such as Hadoop ecosystem, PySpark, SAS, Presto, SQL, and related technologies.
• Oversee robust data‑wrangling processes, ensuring high‑quality datasets suited for predictive modeling and analytical insights.
• Develop, evaluate, and validate advanced data mining techniques, machine learning algorithms, and automated analytical capabilities to solve strategic business challenges.
• Leverage Visa’s data, AI infrastructure, and analytic assets to design, standardize, and implement scalable consulting solutions.
• Identify relevant market and industry trends, generating insights that inform strategic decisions in the payments ecosystem.
• Engage and influence internal and external stakeholders to shape analysis scope, methodologies, and solution direction.
• Continuously propose innovative ideas that improve analytical strategies, operational efficiency, and client value—promoting an AI‑First and experimentation culture.
• Conduct client‑specific analyses using proprietary portfolio data, including demographics, behavioral patterns, spend, fraud, credit risk, and financial performance.
• Communicate complex analytical concepts and model results clearly and effectively to executive and non‑technical audiences.
• Support technical knowledge transfer and ensure smooth implementation of delivered solutions.
• Document analytical processes, methodologies, and best practices, contributing to continuous improvement across the organization.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

• BA or BS required, master’s degree preferred (e.g., Statistics, Computer Science, Engineering, Data Science, or related fields).
• 6+ years of professional experience, with at least 4 years in the Banking or Payments industry preferred.
• Strong interest and curiosity about the future of payments and emerging trends in the ecosystem.
• Experience in retail banking, payments, financial services, and/or technology industries.
• Demonstrated experience in Credit Risk or Fraud Prevention, including the development of policies, ad‑hoc analyses, and predictive models.
• Proven hands‑on expertise in advanced analytics and statistical modeling, including Linear and Logistic Regression, Clustering methods (e.g., K‑means), and Classification techniques (e.g., Decision Trees, Random Forest).
• Experience working with large‑scale datasets (Big Data), with strong skills in extracting, cleaning, and manipulating data using tools such as Python or PySpark, SQL, Hadoop or Hive, Presto, SAS, or similar technologies.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Ability to generate and present innovative, data‑driven ideas to enhance current business practices, particularly within Risk disciplines.
• Excellent project management, organizational, and presentation skills.
• Strong teamwork, relationship management, and interpersonal skills.
• Ability to manage multiple projects simultaneously while meeting deadlines.
• Fluency in English (spoken and 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.