Banking Veteran Paul Vanden Heuvel Joins Earnix North America
Westport, CT, June 17, 2015 – Earnix, a leading provider of integrated customer analytics solutions for financial services, today announced that deposits expert Paul Vanden Heuvel has joined Earnix North America. Paul’s 25 years of experience with some of the leading US banks will further develop Earnix’s range of banking products offered in the United States and Canada.
Paul brings a wealth of experience and breadth of knowledge of the Industry, having held senior positions in BBVA Compass, SunTrust Bank, First Bank and PNC Bank. Over the years, Paul has been involved in designing and pricing consumer loan and deposit products, developing pricing methodologies, managing growth strategies and running analytics operations. Paul’s vast experience in managing liability product portfolios and successfully driving profitable growth will benefit retail banks that are using Earnix’s solution.
“I am very excited to join Earnix and to contribute to the company’s successful efforts in providing customers with high quality banking solutions”, commented Paul Vanden Heuvel. “I am fortunate to be joining such a respected professional team that prides itself on innovation within the banking industry”.
Meryl Golden, Earnix’s General Manager, North America stated “We are thrilled to welcome Paul to our North American team. I am confident that he will contribute to our depth of knowledge within the industry and will play a key role in strengthening our position in the banking area. In response to growing interest in our solutions, Earnix continues to build our executive team with seasoned retail banking veterans. Paul’s keen understanding of data and analytics can bring our clients to the next level of pricing and profitability management.”
Earnix provides an advanced analytics platform designed for the financial services industry, which integrates real-time decision-making capabilities into the business process, delivering significant results.
Earnix’s modeling, algorithms, and Machine Learning capabilities automate the rapid deployment of customer-centric offers by considering variables such as price, product features, and distribution channels, to optimize KPIs such as revenue, profit, sales volume, and customer satisfaction.
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