Data Scientist

• Company Visa
• No. of Openings 8
• Salary Not Disclosed
• Work Type on-site

Job Description :

• The person will be part of the Visa Consulting and Analytics (VCA) team will report into Hub data science lead

• Specific responsibilities will include:

• Building helping our partners to build data science capabilities analytical solutions to solve their business problems

• Working knowledge in retail banking credit card domain to guide the teams on the solution architecture

• Drive innovation through using data science techniques

• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.

• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure.

• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets.

Qualifications

Professional Experience :

• Minimum of 6 or more years of analytics expertise with 1-3 years experience leading team in applying statistical solutions to business problems
• Experience working in one or more of the Card Payments markets around the globe
• Experience in banking / consumer lending industry preferred
• Experience in credit risk analytics (model development, strategy and framework, scorecard development, documentation, validation, governance, implementation, and automation etc.)
• Strong knowledge of credit card domain expertise i.e. Risk, Marketing, Portfolio, Rewards etc.
• Deep understanding of credit card PL, campaign management, customer lifecycle, Credit Scoring for Consumer, Alternate Data Scoring, Authorization etc.
• Hands on experience with one or more data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive
• Proficiency in some of the following statistical techniques: Linear and Logistic Regression, Decision Trees, Random Forests, Clustering, Principal Component Analysis, Factor analysis etc.
• Understanding of credit bureaus and non-traditional data providers will be a plus
• Demonstrated ability to innovate solutions to solve business problems
• Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
• Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant
• Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies
• Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
• Demonstrated ability to incorporate new techniques to solve business problems