CEMEA Lead, Predictive Risk Intelligence Solutions

We are seeking an experienced analytical and business oriented person to own and manage Risk and Identity Score solutions for the CEMEA region. This role will support the Risk & Identity solutions team managing CEMEA region based in Dubai UAE. The candidate must possess a strong background in managing predictive scores and models with special focus on Risk/Transaction fraud domain preferably along with Payments industry knowledge to help drive monetization and adoption by Payments stakeholders across the region to support Visas aggressive growth targets for ValueAddedServices VAS.  Client stakeholders in this context refer to issuers acquirers fintechs enterprise merchants payment facilitators and marketplaces who have or intend to utilize Visa Data services and solutions into their offerings.
Principal Responsibilities

• Own and drive adoption of specialized enterprise and customer risk and identity related score products by Visa clients and stakeholders in the CEMEA region to drive revenue growth

• Support the achievement of business growth roadmap for Risk & Identity Value Added Solutions

• Support the R&I VAS Solutions team in validating and adapting global score related capabilities to meet regional requirements assess performance impact and provide feedback to strengthen regional business growth

• Help develop GTM plans and adoption drivers to sustain revenue by leading infusion of scores into platform capabilities across various payments usage rails and fraud domains and business optimization services offered by Visa

• Function as the Score product SME for CEMEAs teams supporting Go to Market and client engagements with ability to demonstrate deep understanding of applications of specialized scores to optimize client performance

• Manage and own revenue growth plans and initiatives in alignment with other R&I stakeholders and product teams

• Develop and manage GTM  approach for Visas Risk Scores in CEMEA markets in alignment with global strategy and priorities as well as partnership with platform solution owners and SMEs/Sales teams

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Basic Qualifications

• 510 years of experience in managing Specialized scores/Predictive Risk Intelligence products preferably in Payments applications for leading Retail or B2B organizations /service providers

Preferred Qualifications

• Masters / Bachelors Degree in a Quantitative field such as Business Management product engineering Statistics Mathematic Computer Science Economics Engineering or equivalent
• Hands on experience in developing Scoring Solutions preferably in risk/security/identity fraud related domains and for B2B/retail organizations that specialize in such capabilities . Payment industry knowledge would be an
• advantage
• Analytical ability and understanding of the development and performance of Predictive intelligence/ Risk / Behavioral scores in the context of evolving technologies and data applications
• Experience in deploying Predictive intelligence solutions in scalable Fraud Risk related business use cases
• Ability to analytically interpret different data related to score performance and impact on business KPIs
• Experience in internal and external stakeholder management and in engaging with clients in a Solution sales environment
• Ability to skillfully prioritize and manage concurrent projects and issues.
• Ready to works across boundaries and in partnership with others to achieve goals.
• Experience in identifying growth areas/new opportunities for business by anticipating future needs/trends in industry

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 :

Fulltime