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A leading financial technology firm in Kuala Lumpur is seeking an experienced professional to lead data science engagements with clients in Malaysia. This role requires over 10 years of analytics experience and a strong understanding of AI/ML projects. You will collaborate with stakeholders to design innovative solutions while mentoring junior team members. This is a hybrid position with expectations confirmed by the hiring manager. Join to make a significant impact in a dynamic environment.
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.
The individual will be part of VCA’s geographic cluster covering Singapore, Malaysia, and Thailand (SMT) markets, with primary responsibility for leading data science engagements with Visa’s clients in Malaysia. This role combines deep data science expertise with strong domain knowledge, proven ability to build trusted relationships with senior stakeholders and clients, and a solutions‑oriented, consultative approach to delivery — all aimed at driving measurable business impact and supporting revenue growth.
Specific Responsibilities include:
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Basic Qualifications:
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.