Data Science Manager

Company Description
Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging - where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement.
**Join Visa: A Network Working for Everyone.**

**Job Description**:
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

**Responsibilities**
- Develop and deploy analytical models and assets 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 Ecosystem, PySpark, SAS, Presto, SQL, etc.
- 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 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. Interacting with several internal and external stakeholders for the strategic definition of projects 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, fraud, credit risk, profitability and other 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 and write other documentation as needed. Identify and share best practices for key topics.

**Qualifications**:

- BA/BS required; Master's degree preferred (e.g.: Statistics, Computer Science, Engineering or related fields).
- 8+ years of overall experience with a preferred minimum of 5 in retail banking or payments industry.
- Strong interest in the future of payments a must.
- Proven Hands-on skills in cleaning, manipulating, analyzing, visualizing large data sets.
- Prior proven Hands-on experience in Credit Risk or Fraud Prevention to manage and develop guidelines, policies, simulations, ad-hoc analysis, data assets or predictive models.
- Proven 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 is a plus.
- Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa, more specifically within the Risk Practice.
- Excellent project management, organization and presentation 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 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