Confidential
Vice President, Data & Analytics, Identity & Fraud
About the Company
Preeminent platform for modeling consumer credit risk
Industry Information Technology & Services
Type Public Company
Founded 1899
Employees 10,001+
Categories
Consulting Banking Finance Information Technology & Services Technology Business Credit Reports Credit and Collection Human Resources Leadership Financial Services
Specialties
risk modeling credit reporting marketing data identity protection hr compliance employment verification aca compliance technology fraud prevention artificial intelligence machine learning financial literacy blockchain cloud-based platforms big data trended data data mining cybersecurity financial services fintech data analytics cloud and talent solutions
Business Classifications
SAAS B2B Enterprise
About the Role
The Company is seeking a Vice President for Data and Analytics in the Identity and Fraud sector. The successful candidate will be responsible for leading all data and analytics functions that support the business, from strategy to execution. This includes driving the integration of data and analytics insights into the product roadmap, designing AI applications, and serving as a technical leader for data science and machine learning engineering teams. The role demands a strategic leader with a strong command of the identity and fraud landscape, capable of influencing business strategy and staying ahead of market trends to deliver innovative, market-leading solutions. Collaboration with various teams, including sales, marketing, and technology, is essential to ensure that the business's requirements are met and that the go-to-market plans are effectively executed.
Applicants for this role at the company should have a minimum of a Bachelor's degree in a related field, with an advanced degree preferred, and at least 10 years of experience in managing data science teams within revenue-generating organizations. A deep understanding of the payments lifecycle, consumer credit origination processes, and experience in the heavily regulated financial services industry is highly valued. The ideal candidate will have a proven track record in developing and using diverse data sets for model and product development, as well as expertise in statistical analysis, AI, and machine learning. The role requires excellent problem-solving skills, the ability to design complex algorithms, and a strong background in identity and fraud detection, risk modeling, and causal analysis.
Travel Percent Less than 10%
Functions
Data Management/Analytics
About the Company
Preeminent platform for modeling consumer credit risk
Industry Information Technology & Services
Type Public Company
Founded 1899
Employees 10,001+
Categories
Consulting Banking Finance Information Technology & Services Technology Business Credit Reports Credit and Collection Human Resources Leadership Financial Services
Specialties
risk modeling credit reporting marketing data identity protection hr compliance employment verification aca compliance technology fraud prevention artificial intelligence machine learning financial literacy blockchain cloud-based platforms big data trended data data mining cybersecurity financial services fintech data analytics cloud and talent solutions
Business Classifications
SAAS B2B Enterprise
About the Role
The Company is seeking a Vice President for Data and Analytics in the Identity and Fraud sector. The successful candidate will be responsible for leading all data and analytics functions that support the business, from strategy to execution. This includes driving the integration of data and analytics insights into the product roadmap, designing AI applications, and serving as a technical leader for data science and machine learning engineering teams. The role demands a strategic leader with a strong command of the identity and fraud landscape, capable of influencing business strategy and staying ahead of market trends to deliver innovative, market-leading solutions. Collaboration with various teams, including sales, marketing, and technology, is essential to ensure that the business's requirements are met and that the go-to-market plans are effectively executed.
Applicants for this role at the company should have a minimum of a Bachelor's degree in a related field, with an advanced degree preferred, and at least 10 years of experience in managing data science teams within revenue-generating organizations. A deep understanding of the payments lifecycle, consumer credit origination processes, and experience in the heavily regulated financial services industry is highly valued. The ideal candidate will have a proven track record in developing and using diverse data sets for model and product development, as well as expertise in statistical analysis, AI, and machine learning. The role requires excellent problem-solving skills, the ability to design complex algorithms, and a strong background in identity and fraud detection, risk modeling, and causal analysis.
Travel Percent Less than 10%
Functions
Data Management/Analytics