As one of the original innovators in lending, credit, fraud, and spend analytics, Verisk Financial integrates one of the industry’s largest sets of data to help banks, financial regulators, retailers, and media companies grow their businesses.  We combine data with predictive analytics to uncover new consumer and business insights and integrate this data with the most technologically advanced platforms.

Verisk Financial | Argus is a leading provider of intelligence, decision support solutions, and advisory services to financial institutions across the global commerce ecosystem. Our clients include more than 50 top U.S., Canadian, and other international financial organizations, regulators, payment providers, merchants, and media.

Argus is the leading source of segment-level portfolio management benchmarking data, analytics, models, and advisory services. We maximize value delivery to clients by combining proprietary data sets, cutting-edge software and analytic tools, domain expertise, and our unique results-oriented approach.

Customers worldwide use our services for tailored data management solutions that include business intelligence platforms, profile views, mobile data solutions, enterprise database services, and fraud risk scoring algorithms for marketing, fraud, and risk mitigation. Our clients gain competitive advantage from our exclusive focus on leveraging global best-in-class analytics and methodologies to help achieve their business and regulatory objectives.

We are proud to be a part of the Verisk family of companies!

• Execute and monitor the core monthly processes required to build and maintain a large data warehouse
• Work with technical teams to determine data requirements and best practices for advanced data manipulation, and analysis strategies
• Program software to meet design and business requirements specifications
• Evaluate correlations among statistical data, identify trends and summarize findings across clients and senior management
• Understand core systems and data processes for normalization, data validation, data aggregation, and customized reporting

• BS or advanced degree in computer sciences, information systems, engineering disciplines, mathematics or related field
• A track record of outstanding academic performance
• Strong data analysis skills
• Adept in database technologies specifically Microsoft SQL
• Must have a strong analytic background combined with a keen business understanding
• Ability to effectively communicate complex technical concepts, both verbally and in writing

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All your information will be kept confidential according to EEO guidelines.

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