Director, Cross Border Data Scientist

Key Skills

Java Programming, Python Programming, SQL, Apache Hive, R Programming, SAS

Job Description

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa across regions.

What a Director Cross-border Data Science does at Visa:

The Director Cross-border Data Science will be one of our leaders in the Asia Pacific region for all things Cross-border data. This role will matrix reporting into AP Head of Internal Analytics, AP Head of Cross-Border, and Global lead for Cross-Border Data Science, working closely with AP regional cross border leaders to develop and execute plans that will strengthen our cross-border flows.

Why this is important to Visa:

Cross-border payments are becoming increasingly important to consumers, businesses, banks, and Visa. Technology is eliminating borders and reducing friction. Shopping is becoming a global process. Travel and tourism is an important source of economic growth in many markets of the world. Against this backdrop, Visa must rally our resources and capabilities to ensure we are capitalizing on the opportunities in this important, fast-moving, and competitive segment of our business.

To meet this challenge, we have created a global Cross-Border business unit to drive and manage our activities across regions and products. The Cross-Border business unit provides a strategic focus for our global efforts, while ensuring regional teams are established and capabilities are deployed for local execution.

Projects you will be a part of:

• Drive value from Visa’s unique global data assets in order to answer critical questions for the Cross-border business unit.
• Will be part of a Global Data Science team responsible for blueprinting and delivering analytic projects that solve cross-border business objectives.
• Develop Metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions
• Conduct client and portfolio level analytics to size opportunities and to derive actionable insights for account teams
• Develop and Leverage Consumer segmentation and targeting models to enable tailoring of programs in the markets
• Leverage Forecasting models to enable proactive planning of investments and actions
• Monitor program effectiveness to ensure value quantification of efforts
• Share learning and leverage best practices across groups
• Draw data-driven insights and make actionable recommendations that reflect the specific business and context
• Utilize Hadoop, and related query engines such as Hive to perform advanced data mining
• Apply statistical solutions to business problems, to develop high-level deliverables and communicate data and technical concepts to a business audience
• Define detailed analytic scope and methodology, and create analytic plans.
• Execute on the analytic plans with appropriate data mining and analytic techniques.
• Present analytics, insights and recommendations to a non-technical audience

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

What you will need:

• 8-10 years of analytical experience in applying solutions to business problems
• Post Graduate degree in a Quantitative field
• Hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/Python
• Experience in the application of predictive modeling and machine learning techniques
• Demonstrated experience in planning, organizing, and managing multiple analytic projects with diverse cross-functional stakeholders
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Proven skills in translating analytics output to actionable recommendations, and delivery

What will also help:

• Prior experience in payments or financial services industry preferred
• Demonstrated ability to innovate solutions to solve business problems
• Results oriented with strong analytical and problem solving skills, with demonstrated intellectual and analytical rigor
• Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in payment, retail banking, or retail merchant industries is preferred
• Understanding of Cards/Payments and Banking business model would be a plus
• Detail oriented, is expected to ensure highest level of quality/rigor in reports and data analysis
• Exhibit intellectual curiosity and strive to continually learn
• Experience with managing project teams and providing direction and thought leadership