Analyst Data Science
Analyst Data Science
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Job Description
- Identify innovation opportunities around data and datarelated processes that will help our clients implement factbased decisioning processes within their cards and payments program
- Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategies cocreate deploy and reap the benefits of datadriven solutions.
- Work with regional and global Data Science teams to develop highquality analytic products and solutions that promote Visas growth in the region.
- Keep Visa at the forefront of technological advancement in Data Science by introducing cuttingedge tools and techniques for generating business insights
- Develop nextgeneration analytic methods where existing tools and techniques are inadequate to address business challenges
- Review direct guide and inspire the analytical work of junior members in the team
- Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs
- Manage workload for self and any direct reports providing prioritization guidance for project flow to improve process efficiency.
- Manage and grow talent within the team.
- Develop share and build global best practices and knowledge management within the team
- Socialize innovative ideas and approaches that are scalable and have market demand
- Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications
2 years of relevant work experience and a Bachelors degree OR 5 years of relevant work experience
Preferred Qualifications
3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
Minimum of 4 years of expertise in applying Machine Learning solutions to business problems model development and production experience required. Working knowledge of GENAI algorithms and packages is mandatory
Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering
Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries
Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded product
Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems
Proven ability to deliver results within committed scope timeline and budget
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
Employment Type
Full-time
