Senior Consultant Data Science

Team Summary:

Visa Consulting & Analytics (VCA) is Visas consulting division serving Visas 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 1350 projects executed in 2022. Key focus areas of VCA in this year are to drive Valueinkind (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 Visas 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 Consultant Data Science will do and learn at Visa:

The Senior Consultant 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 Visas 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 recommendations
• Define detailed project scope and methodology creating and executing on the framework with appropriate data mining techniques
• Lead business development discussions on data science solutions understand and gather client requirements and articulate clearly on solution frameworks
• Clearly communicate the findings and recommendations from analysis drive deployment and implementation of analytics solutions and track business value impact
• Independently develop and drive storyline with a clear so what and logical flow of insights and recommended actions for clients
• Work with VisaNet (i.e. Visas transaction data) clients and 3rd party data sources to create advanced datadriven solutions
• Actively seek out opportunities to innovate by using nontraditional data and new modelling techniques fit for purpose to the needs of our clients
• Engage 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 bestinclass payment expertise and datadriven strategies to clients. We are building a highperforming 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 cuttingedge creative and advanced analytic solutions. The purpose of the team is to help Visas 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

• 10 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 resultsdriven and clientcentric.

• Degree (Masters or higher would be an advantage) in Quantitative field such as Statistics Mathematics Operational Research Computer Science Economics Engineering or equivalent experience
• Minimum 10 years of professional work experience in banking payments or related industry
• Deep analytical expertise in applying statistical solutions to business problems
• Possess the ability to sell data solutions
• Experience with extracting and aggregating data from large data sets using SQL Hive Spark or other tools
• Experience on programming languages (Python and/or C or more) ML/DL tools Scikitlearn 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 etc
• Demonstrated experience in managing multiple and concurrent projects with diverse crossfunctional stakeholders
• Demonstrated ability to innovate solutions and solve business problems
• Strong internal team and external client stakeholder management with a collaborative diplomatic and flexible style able to work effectively in a matrixed organization
• Excellent presentation and storytelling skills including strong oral and written capabilities
• Inmarket experience and knowledge of local language and culture alongside market regulations and industry trends
• Willingness to travel 30 or more

What will also help:

• Good understanding of payments and banking
• Experience in risk analytics is a plus
• Experience 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.

Remote Work :

No

Employment Type :

Fulltime