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
- Leading, executing, and delivering data science projects for one of Visa's key bank clients in Malaysia.
- Hands on develop detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
- Maintaining quality control and up-to-date documentation for all data science projects.
- Innovating by utilizing Visa's data and client data to meet client needs.
- Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
- Fostering thought leadership in the data science domain and building intellectual property through innovation.
- Managing communication with clients and stakeholders effectively.
- Mentoring, guiding, and supervising data scientists in the project team.
- Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
- Identifying opportunities for innovation using non-traditional data and new modeling techniques.
- Managing internal and external stakeholders.
- Building data science visualization capabilities to address client problems.
- Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
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
- Degree (master’s or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
- 7+ years of experience in performing data exploration and feature engineering.
- 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 Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
- Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
- 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.
- Storyboarding and data storytelling including strong Excel and PowerPoint skills.
- In market experience and/or knowledge of local language, culture as well as industry regulations
Additional Information
All your information will be kept confidential according to EEO guidelines.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.
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