Company Description

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.

Job Description

Team Summary

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our business partners such as financial institutions, merchants, fintechs, government agencies 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.

What a Senior Manager, Data Science does at Visa:

• As Senior Manager, Data Science, you are contributing Korea and Mongolia Data Science team, and are part of Visa’s Global Data Science community.
• Take the lead role in Data Science projects as project manager, providing support to both internal and external business partners in resolving business issues in various domains. (e.g. digital, marketing, risk etc.)
• Involve yourself in innovative works in Data Science and A.I. to improve relevant capabilities.
• Provide technical leadership in a team that generates business insights based on big data, identify actionable recommendations, and communicate the findings to clients
• Brainstorm innovative ways to use our unique data to address business problems
• Lead the communication with clients to understand the challenges they face and convince them with data
• Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
• Find opportunities and develop data solutions / products out of analyses that are suitable for multiple clients
• Collaborate with stakeholders across the team to identify opportunities for leveraging Visa data and data science approaches to drive Visa’s core business
• Assess the effectiveness and accuracy of new / 3rd party data sources and data gathering techniques
• Develop predictive / prescriptive models to increase and optimize customer experiences, revenue generation, data insights, risk management and other business outputs
• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal stakeholders
• Provide guidance in advanced analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques

Why this is important to Visa

As payments consulting arm of Visa, Data Science team is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help both internal and external business partners grow their business and solve problems by providing advisory services through the use of data.

Projects you will be a part of:

• Data / Data Science Advisory
• VisaNet Data Analytic (Benchmarking / Market Landscape Analysis)
• M/L or Deep Learning Model Development
• Risk related Model Development
• Data Commercialization Engagement
• Data Partnership and Convergence (3rd party data blending)
• Data and A.I. Governance
• Data / A.I. Platform Development / Enhancement
• Thought Leadership in Data Science (ex. A.I. Fairness, Sustainability Application)

Qualifications

What you will need:

• 8+ years of relevant work experience with a Bachelors Degree or 6+ years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 3+ years of work experience with a PhD

• Bachelors or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, Industrial Engineering, or a related technical field
• Understanding the fundamentals of advanced M/L or D/L algorithms and Generative A.I.
• Experience for developing risk models like ABC score / Alternative credit scoring / SME credit scoring and Fraud detection models
• Extracting and aggregating data from large data sets using SQL/Hive or Spark
• Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
• Generating and visualizing data-based insights in software such as Tableau
• Communicating data-driven insights and conveying actionable recommendations
• Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams
• Building predictive and descriptive models using machine learning tool kit, Jupyter notebooks, Python, PyTorch, TensorFlow, Spark and Langchain etc.
• Data mining and statistical modeling with Machine Learning or Deep Learning
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
• Managing analytics/data science projects from scoping to delivery, and engaging with internal/external stakeholders.

Additional Information