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 Data has always been at the heart of Visa’s payments network. With the emergence of open banking and open finance, there are increasing opportunities to move money and data across the payments and broader financial ecosystem, addressing the needs of consumers, businesses and financial institutions as our commerce and payment journeys evolve. Visa Data Solutions is at the center of this dynamic opportunity, and our aim is to enable Visa clients and partners to leverage open data and payment platforms to drive better customer engagement, and outcomes that grow their business. The Asia Pacific Data Solutions team is responsible for leading the strategy, prioritization, development, and delivery of Visa’s data solutions roadmap in this exciting area. Visa Consulting & Analytics (VCA) team is a key part of the Global Data Solutions organization, a high-performing team of data scientists, data analysts and data engineers 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. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for data scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. What a Sr. Data Scientist (Sr Manager) does at Visa: The position will be based in Visa’s Singapore office. The successful candidate will support the APAC Data Solutions team to develop new data products and propositions meant to grow our data solutions suite to scale our data business in the open data economy. The candidate will work across a variety of problem statements in the Open Banking / Data space, instalments, credit risk etc and will include close collaboration with strategic partners and internal stakeholders. S/he will have be highly analytical and have the relevant skills to not only independently analyze and interpret data insights but also support product development efforts to build scalable data products Partner with roles across the organization including consultants, engineering, and data scientists to address prioritized business problems Lead the development of data driven products aligned with stakeholder priorities and working closely with partners / vendors for the execution as necessary Define detailed scope and methodology, design and create solutions, and execute on the POC / pilot framework leveraging appropriate tools and techniques Supporting the development of a robust system for measuring and optimizing the quality of deployed algorithms and models and to manage new models / products that are built Monitoring AI models in production to evaluate performance, model drift, and decay. Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies. Why this is important to Visa With a rapid change in the payment landscape, new regulations around Open banking and Open data and the emergence of new Fintech players – the payment ecosystem is rapidly evolving, and our clients are looking to Visa as the payment experts to help them navigate through the opportunities and challenges that these changes pose. Visa with its global reach and rich transaction data set is ideally positioned to assist clients solve their strategic business problems and drive growth. 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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

What you will need: Post Graduate (masters or Ph.D) in STEM field with approximately 10+ years being a data scientist or analytics consultant Hands-on experience in developing machine learning models, scaling data solutions and delivering end-to-end data science projects Familiar with typical machine learning models such as Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, etc Proficient in big data aggregation using Hive, Spark, SQL, R/Python, and familiar with typical deep learning toolkits and packages Experience with visualization and reporting tools, such as advanced user of Power BI, Tableau, MicroStrategy, open-source tool, or similar Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization Exhibit intellectual curiosity and strive to continually learn, self-motivated and results oriented individual with the ability to handle numerous projects Experience in banking / consumer lending / consulting industry preferred Experience in credit risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation, and automation etc.) will be a plus Understanding of credit bureaus and non-traditional data providers will be a plus Projects you will be a part of: The nature of projects this role will play a key role in vary. This would include supporting the Visa Data Solutions team to grow our data solutions suite by incubating, deploying and scaling new data products and services over time, aligned with our global roadmaps. This would entail working closely with the Data Solutions team on their roadmap and would involve working closely with strategic data partners on joint development of new data products. Please Note: Due to the COVID-19 pandemic and the evolving visa/travel restrictions in place, we are currently only able to extend offers to candidates with the right to work in Singapore. We are keeping the situation under close review and will adjust accordingly should the restrictive measures be lifted.

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.