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
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.
The Business and Strategy Analytics team is part of the Intelligence and Data Solutions team, that partners with the Asia Pacific Regional President’s Office to enable Visa internal business units to optimize performance and profitability, and make data-driven decisions. The team provides management intelligence to democratize data insights across the organization and strategic analytics to identify opportunities and deep dive on key payment trends and shape the future of payments.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa
What a Data Science Sr. Manager does at Visa
The successful candidate will focus on driving value from Visa’ unique data assets to strengthen and extend Visa’s impact in the payments landscape for markets Singapore, Malaysia, Thailand, as well as Global Client Accounts. You will be required to use your business acumen along with analytical skillset to deliver data science projects that solve Visa’s business objectives. Based on findings from data-driven analysis, you will draw fact-based insights and make actionable recommendations that reflect the business and context. You will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data and provide data visualization to enable business stakeholders consume the information. Data sets will include, but not limited to, VisaNet transaction data, Visa operational data, and relevant third party data sources. We have a highly collaborative process and you are required to work across multiple teams and functions for leading & developing cutting edge, creative and advanced analytic solutions.
The role reports to Management Intelligence Lead within the AP Business and Strategy Analytics team and will be based in Singapore
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
What you will need
Technical
- Minimum 10 years of analytical expertise in applying statistical solutions to business problems
- Post graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics or engineering, or equivalent experience
- Experience in working with real-world data sets and building scalable models from large-scale data
- Hands on experience with multiple data analytics and data science programming tools and technologies such as SQL, Python, Hive, R, Spark, TensorFlow, PyTorch, scikit-learn, etc
- Proficiency in data visualization, and data visualization tools such as Tableau, PowerBI, etc
- Knowledge of statistical and data science techniques such as neural networks, gradient boosting, logistic regression, advanced forecasting techniques, etc
Business
- 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 cards/payments, retail banking, or retail merchant industries is important
- Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
- Detail-oriented and able to ensure highest level of quality/rigor in reports & data analysis
- Proven skills in translating analytics output to actionable recommendations, and delivery
- Experience in presenting ideas and analysis to stakeholders
- Exhibit intellectual curiosity and strive to continually learn
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.
