Senior Manager, Data Science

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 Indonesia, Philippines, Vietnam, Myanmar and Cambodia (IPVMC) markets, and will be responsible for driving data science engagements with Visa's clients in Philippines and supporting end-to-end delivery. 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 Senior Manager, Visa Consulting & Analytics does at Visa**:
The Data Science Senior Manager will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa Indonesia office.

The individual will be accountable for supporting and driving design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.

Key responsibilities include:

- Manage and deliver data science engagements for Indonesia clients
- Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques
- Clearly communicate the findings and recommendations, drive deployment and implementation of solutions, as well as track impact
- Ensure consistency, standards & quality control of data science work, with all project documentation up to date
- Actively seek out opportunities to innovate by using Visa’s data, client’s data and non-traditional data fit for purpose to the needs of our clients
- Enhance existing data science techniques by promoting new methodologies and best practices in the field
- Promote thought leadership in the data science domain and build intellectual property through innovation
- Effectively interact with clients and manage internal/external stakeholder communication
- Mentor, guide and supervise data scientists in the project team

**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’re 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 remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

**Qualifications**:
What you will need:

- 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 8-10 years of professional work experience in banking, payments or related industry
- Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem
- Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision