Manager, VCA, Intelligence & Data Solutions (IDS), Data Science
Share
Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
The ideal candidate is a strategic problem solver with strong analytical and quantitative skills capable of addressing key business and product needs for Visas clients including issuers acquirers and merchants. This leader embraces an AIFirst mindset leveraging advanced AIML techniques to accelerate insight generation automate decision making and build scalable datadriven solutions.
Adept at creative critical and structured thinking the candidate can break down complex problems design robust analytical approaches and transform insights into stateoftheart largescale AI solutions. The individual must be a fast learner with strong ownership capable of guiding teams through ambiguity and driving measurable business impact.
Key Responsibilities
- Lead develop and strengthen highimpact stakeholder relationships across internal teams and Visa clients.
- Build and deploy advanced analytical and AI or 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 value promoting 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 office will be confirmed by your hiring manager.
Qualifications :
- Bachelors degree required Masters degree preferred (e.g. Statistics Computer Science Engineering or related fields).
- 6 years of professional experience including at least 4 years in the Banking or Payments industry.
- Strong interest in the future of payments and evolving payment technologies.
- Experience across retail banking payments financial services andor technology sectors.
- Demonstrated experience in Credit Risk Fraud Prevention propensity modeling for portfolio optimization and adhoc analytical modeling work.
- Proven ability to design automate and maintain scalable operational processes.
- Handson experience in advanced analytics and statistical modeling including:
- Linear and Logistic Regression
- Clustering methods (e.g. Kmeans)
- Classification models (e.g. Decision Trees Random Forest) among others
- Experience working with large scale datasets (Big Data) including data extraction cleaning and transformation using tools such as Python PySpark SQL HadoopHive Presto SAS etc.
- Knowledge of data visualization tools (e.g. Tableau Power BI).
- Ability to continuously generate and present innovative datadriven insights to enhance business practices at Visa particularly within the fourparty payment model (issuer acquirer merchant and cardholder).
- Excellent project management organizational and presentation skills.
- Strong teamwork relationshipbuilding and interpersonal skills.
- Ability to manage multiple projects simultaneously while meeting deadlines.
- Fluency in English and Portuguese (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 :
No
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
About Company
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
