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. To learn more about Argus please visit us at: www.argusinformation.com. We are proud to be a part of the Verisk family of companies!

With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.

Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package.

The Enterprise Data Management team (EDM) in Verisk Financial provides end-to-end data management solutions and services to clients in the Financial Services industry.  As part of this service, we offer multiple solutions and products related to enterprise data warehouse implementation, data strategy assessment, BI reporting solution etc.

This resource is required to handle development activities for existing projects as well as new projects.

Associate Developer in the EDM team will:

• Work under the solution and data integration team
• Understand Argus data hosted solutions and enhance/develop solution modules
• To handle varying technology needs of the client
• Develop solutions in standard RDBMS, Big Data platforms, NOSQL environments etc.
• Develop implementations on both on-prem and cloud infrastructures

Key responsibilities:

• Complete development activities assigned
• Apply appropriate development techniques to produce high quality deliverables
• Deliver on-time and promptly
• Develop the solution, perform unit testing, assist during UAT and handle implementation activities for production roll-out
• Apply gained experience or academic knowledge in handling distributed computing and/or big data technologies
• Work on data warehousing projects and assist in producing data needs for Business Intelligence layer
• Handle performance optimization on various layers of application appropriately
• Handle ETL/ELT development activities as required
• Document technology, process flow details of the developed program unit
• Create unit test cases, document and execute
• Use adequate code management tools and techniques

Experience:

• Bachelor's degree or Masters Degree (preferred) in Computer science
• 2+ years of experience if Bachelor’s

Skills:

• Experience or academic knowledgewith Big Data technologies such as Hive, Pig, Scripting, Map Reduce, Spark, Sqoop, Drill, Oozie etc.
• Database technologies – RDBMS (SQL Server, Postgres, Oracle, etc.), NOSQL (Hadoop, Mongo DB, etc.) or equivalent technology
• Experience with SQL, ETL/ELT(One or more – Pentaho, Informatica, SSIS etc)
• Programming languages – Java, Python, R, Scala, SQL, or equivalent

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. 

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