Data Scientist, Credit Card Analytics
Share
Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Visa Consulting and Analytics (VCA) is Visas consulting division serving Visas clients (including card issuers acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting payments data analytics marketing operational and macroeconomics VCA drives high impact and tangible financial results.
The individual will be part of VCA Data Science team and will be responsible for delivering data analytics projects with Visa client. The team is involved in a comprehensive range of analytics services for our client that address unique challenges in areas such as strategic growth cards profitability product acquisitions customer engagement and portfolio management.
What a Data Scientist Visa Consulting & Analytics does at Visa:
The Data Scientist will be a member of VCA Data Science team in Asia Pacific and will report to the squad lead. This position will be embedded at client office and based in Bangalore.
The individual will be accountable for delivery and implementation of analytics strategies as well as high-impact solutions for the client. He/she will bring in deep expertise from credit cards and retail banking with a strong background in data analysis to solve complex problems and unlock business value.
Key responsibilities include:
- Execute and deliver data analytics projects for the Visa client
- Drive credit card portfolio strategies with the use of client data and/or other sources of data e.g. Visa data third party etc.
- Act as analytics advocate within our partners advising 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 best practices and import successful methodologies from other international markets
- Effectively interact with clients and manage internal/external stakeholder communication
Why this is important to Visa:
As payments consulting arm of Visa VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. Were building a high-performing team of data scientists data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology finance and commerce with cutting-edge creative and advanced analytic solutions. The purpose of the team is to help Visas clients grow their business and solve problems by providing consulting services using data.
What you will need:
We are looking for a motivated analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience be curious about banking and cards industry should be results-driven and client-centric.
- Degree in a Quantitative field such as Statistics Mathematics Operational Research Computer Science Economics Engineering or equivalent
- Minimum 3 years of analytics experience in applying statistical solutions to business problems
- Experience in credit cards and/or retail banking analytics
- Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive
- Outstanding problem-solving skills with demonstrated ability to think creatively and strategically
- Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint
- Self-motivated results oriented individual with ability to handle multiple projects concurrently
- Experience in working closely with data science community
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications:
- Degree in a Quantitative field such as Statistics Mathematics Operational Research Computer Science Economics Engineering or equivalent. We will consider candidates between 3 to 5 yrs for this role.
- Min 3 years of analytics experience in applying statistical solutions to business problems
- Experience in credit cards and/or retail banking analytics (mandatory)
- Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive
- Outstanding problem-solving skills with demonstrated ability to think creatively and strategically
- Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint
- Self-motivated results oriented individual with ability to handle multiple projects concurrently
- Experience in working closely with data science community
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
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more
