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 Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability.

Drawing on our expertise in strategy consulting, payments, data analytics, data modelling, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results. Currently the team has 800+ professionals (including consultants, data scientists and economics) globally with 1,350+ projects executed in 2022. Key focus areas of VCA in this year are to drive Value-in-kind (VIK) revenue, include consulting VIK to displace cash incentives in every new or renewal client deals and build a strong team of data scientists and consultants.

The incumbent will be part of VCA geographic team cluster of Indonesia, Philippines, Vietnam, Myanmar, and Cambodia (IPVMC) markets, and will be responsible for advisory engagements with Visa's clients in this cluster. These are highly diversified geographies with clients at different levels of progress. You will be challenged to stretch your thinking and innovation is always an edge to the work that we do.

What a Senior Manager Data Science will do and learn at Visa:

The Senior Manager Data Science will be a member of the Asia Pacific Data Science team and report to the Data Science Lead for Vietnam. The position will be based in Visa’s Vietnam office in Hanoi. However, project support may be needed for clients in Ho Chi Minh City as required.

Key responsibilities include:

Manage and deliver analytics projects from conception to completion with actionable insights and recommendationsDefine detailed project scope and methodology, creating and executing on the framework with appropriate data mining techniquesLead business development discussions on data science solutions, understand and gather client requirements and articulate clearly on solution frameworksClearly communicate the findings and recommendations from analysis, drive deployment and implementation of analytics solutions, and track business value impactIndependently develop and drive storyline with a clear so what and logical flow of insights and recommended actions for clientsWork with VisaNet (i.e., Visa’s transaction data), clients and 3rd party data sources to create advanced data-driven solutionsActively seek out opportunities to innovate by using non-traditional data and new modelling techniques fit for purpose to the needs of our clientsEngage with external clients, and manage internal and external stakeholders

Why this is important to Visa:

As payments consulting arm of Visa, VCA 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 Visa’s clients grow their business and solve problems by providing consulting services through the use of data.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience

Preferred Qualifications

9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

What you will need:
We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of experience, be curious about payments industry and application of data analytics, be results-driven and client-centric.

Degree (Masters or higher would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering or equivalent experienceMinimum 10 years of professional work experience in banking, payments or related industryDeep analytical expertise in applying statistical solutions to business problemsExperience with extracting and aggregating data from large data sets using SQL, Hive, Spark, or other toolsExperience on programming languages (Python and/or C or more), ML/DL tools, Scikit-learn, Tensorflow or PyTorch and proficiency in one or more statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etcDemonstrated experience in managing multiple and concurrent projects with diverse cross-functional stakeholdersDemonstrated ability to innovate solutions and solve business problemsStrong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style able to work effectively in a matrixed organizationExcellent presentation and storytelling skills, including strong oral and written capabilitiesIn-market experience and knowledge of local language and culture alongside market regulations and industry trendsWillingness to travel 30% or more

What will also help:

Good understanding of payments and bankingExperience in risk analytics is a plusExperience in working closely with data science community

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.