Director, Data Science - Visa Consulting & Analytics, Malaysia

Job Description

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Team Summary

Visa Consulting and 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, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

The individual will be part of VCA Data Science geographic team cluster of Singapore, Malaysia and Thailand (SMT) markets, and will be responsible for leading data science engagements with Visa's clients in Malaysia. The team is involved in a comprehensive range of consulting services and solutions to our clients, that address unique challenges in areas such as strategic growth, profitability, risk management, digital strategy and portfolio management.

What a Data Science Director, Visa Consulting & Analytics does at Visa:

The Data Science Director will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the SMT cluster. The position will be based in Visa’s Kuala Lumpur office.

The incumbent will be responsible for developing scorecards, machine learning and deep learning models, business analytics as well as to engage Visa’s clients in order to solve business problems. Here, you will be required to work with large data sets using quantitative techniques and build complex statistical models that learn from big data. Data sets will include alternate data sourced from non-traditional data vendors and data from diverse systems maintained by card issuing clients.

Working and collaborating with other team members in VCA and Visa Asia Pacific, the Director will draw on their deep domain knowledge and expertise to provide recommendations to clients, work that will enable enduring, strategic relationships with our clients.

Key responsibilities include:

• Direct and execute multiple medium to large analytic projects along with rest of the stakeholders in the VCA team
• Identify, ideate and develop analytical solutions, engage clients, develop strategies, testing as well as monitoring frameworks
• Engage and work with external clients from marketing, risk and products to drive data-driven decision-making
• Actively seek out opportunities to innovate by using non-traditional data and new modeling techniques
• Collaborate with the internal teams to fully understand business requirements and desired business outcomes
• Define detailed analytic scope and methodology, as well as create a plan and execute on it
• Provide thought leadership by using data to solve business problems and arrive at innovative statistical solutions
• Ensure all project documentation is up to date and maintain the highest levels of quality in deliverables
• Ensure project delivery within timelines and budget requirements
• Contribute to the development of the team’s analytical skills and business knowledge
• Work as an independent contributor and/or as a team lead when required
• Enhance existing analytic techniques by promoting new methodology and best practices in analytics field
• Provide subject matter expertise and quality assurance of complex data-driven analytic projects

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. Hybrid employees can alternate time between both home and office. Employees in hybrid roles are expected to work from the office three days a week, Monday (Sunday in some countries where Sunday is the start of the week) and Wednesdays. Wednesdays are designated as in-office collaboration days. The third day in the office will be decided based on team needs and determined in partnership with senior leadership.

Qualifications

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 industry experience, be curious about payments industry and application of data analytics, is results-driven and client-centric.
- Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
- Minimum 12 years of professional work experience in banking, payments or related industry
- Deep analytical expertise in applying statistical solutions to business problems
- Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem
- Proficiency in some of the following 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 planning, organizing, and managing multiple analytic projects with diverse cross-functional 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 skills, including strong oral and written capabilities
- Self-motivated, results-oriented individual with the ability to progress multiple priorities concurrently
- Solutions-focused mindset
What will also help:
- Strong understanding of Payments and the Banking Industry including Consumer Credit, Consumer debit, Small Business, Commercial, Co-Brand and Merchant
- In-market experience and/or knowledge of local language and culture as well as regulation and industry trends
- Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint

Additional Information

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law. Sorry, this job has expired Sorry, this job has expired Privacy Policy Cookies Settings