Senior Manager, Data Science

• Lead and deliver data science engagements for clients in Thailand ensuring highquality execution across all phases of the project lifecycle.

• Work onsite at the clients office  collaborating closely with client data business and product teams to drive handson execution data analysis and solution implementation.

• Define detailed project scope and methodology design analytical solutions and implement robust frameworks using appropriate tools techniques and modeling approaches.

• Build strong partnerships with Visa teams client stakeholders and analytics counterparts to enable effective collaboration solution deployment and business impact tracking.

• Maintain standards quality and documentation for all data science deliverables ensuring consistency accuracy and adherence to Visas best practices.

• Identify opportunities for innovation by leveraging Visa data client data and relevant external/alternative datasets to address highpriority business needs.

• Enhance analytical methodologies promoting new techniques and best practices within the data science community.

• Drive thought leadership in the data science domain and contribute to developing Visas intellectual property through new models frameworks and solution accelerators.

• Manage client and internal stakeholder communication presenting insights progress updates and recommendations in a clear and compelling manner.

This is a hybrid position primarily located in client office. Expectations of days in office will be confirmed by your hiring manager.

Qualifications :

Basic Qualifications:

• 8 years of relevant work experience with a Bachelors Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD OR 11 years of relevant work experience.

Preferred Qualifications:

• 9 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
• 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 10 years of professional work experience in banking payments or related industry
• Hands-on experience with data analytics/programming tools such as Python/R/SQL/Hive/Spark/SAS/Hadoop 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.
• Manage and take ownership of all data-related client deliverables and discussions
• 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
• Proven experience operating as an individual contributor with the ability to independently lead analytical workstreams structure problem statements and deliver high quality outputs without day to day supervision.
• Strong working knowledge of banking data including product level datasets (cards retail banking deposits loans) customer behavior data transaction flows risk and credit data or other relevant financial data structures. Experience collaborating with bank data teams or working within a bank environment is strongly preferred.

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 :

Full-time