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

São Paulo - Brazil

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Lead develop and strengthen highimpact 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 AIFirst principles.
Work with largescale complex datasets extracting cleansing transforming and manipulating data using tools such as Hadoop ecosystem PySpark SAS Presto SQL and related technologies.
Oversee robust datawrangling processes ensuring highquality 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 Visas 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 valuepromoting an AIFirst and experimentation culture.
Conduct clientspecific 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 nontechnical 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 masters 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 adhoc analyses and predictive models.
Proven handson expertise in advanced analytics and statistical modeling including Linear and Logistic Regression Clustering methods (e.g. Kmeans) and Classification techniques (e.g. Decision Trees Random Forest).
Experience working with largescale 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 datadriven 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.

Remote Work :

Employment Type :

Full-time

Lead develop and strengthen highimpact 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 AIFirst principles.Work with largescale complex datasets extracting cleans...

Lead develop and strengthen highimpact 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 AIFirst principles.
Work with largescale complex datasets extracting cleansing transforming and manipulating data using tools such as Hadoop ecosystem PySpark SAS Presto SQL and related technologies.
Oversee robust datawrangling processes ensuring highquality 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 Visas 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 valuepromoting an AIFirst and experimentation culture.
Conduct clientspecific 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 nontechnical 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 masters 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 adhoc analyses and predictive models.
Proven handson expertise in advanced analytics and statistical modeling including Linear and Logistic Regression Clustering methods (e.g. Kmeans) and Classification techniques (e.g. Decision Trees Random Forest).
Experience working with largescale 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 datadriven 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 :

Remote Work :

Employment Type :

Full-time

Key Skills

SQL
Data Collection
GCP
Master Data Management
R
Data Management
Clinical Trials
User Acceptance Testing
Data Warehouse
SAS
Oracle
Data Analysis Skills

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About Company

Visa

Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more

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