Christopher Aliotta

Member Since 2022

Christopher Aliotta


Quantalytix, Inc.


Christopher “Chris” Aliotta is the founder, president and CEO of Quantalytix, a Birmingham, Ala.-based fintech startup specializing in advanced analytics and loan management systems. With more than 16 years of banking and fintech experience, Aliotta has mastered interest rate risk management, credit risk management, leveraging and monetizing data, bank strategy, loan/deposit valuation, balance sheet profitability, relationship profitability modeling, asset liability management, relationship profitability modeling, cloud software trends, blockchain trends and data tools. Aliotta, a former banker, recognized the need for a truly integrated risk and loan management solution to gain actionable insights into loan portfolios during his banking career. Realizing the current market void, he left his bank position to develop a portfolio management data platform that is easily accessible, user-friendly, and cost-effective. Aliotta, along with his co-founder, and former banker, Will Bryant, launched Quantalytix to provide bank and non-bank lenders a modern solution that provides real-time access to internal and external data through a single compatible source. His vision is for the company to be the leading technological service provider for the next lending frontier. Today, Aliotta is responsible for the success of Quantalytix measured by shareholder return on investments, employee retention, community impact and customer satisfaction. With his deep financial expertise, Aliotta establishes the company’s vision, goals and strategies. Prior to founding Quantalytix, Aliotta spent six years at Regions Bank where he held executive positions including VP, Senior Quantitative Analyst, VP, Asset Liability Manager and VP, Loan Valuation Manager. Most recently, he managed the loan valuation analytics for financial reporting (FAS 107/ASC820), strategic purchasing and disposition of bank portfolios (M&A), and profitability management. Aliotta began his career at Buffalo, N.Y.-based M&T Bank where he was selected out of 200 individuals to be a part of the 20-person Management Development Program. When he left M&T, he was AVP, Asset Liability Model and Data Manager where he was instrumental in the complete reimplementation of balance sheet management software and data architecture for managing interest rate risk. Aliotta graduated magna cum laude from the University of Buffalo where he earned a BS in Finance, Management of Information Systems. While there he was a member of the Phi Eta Sigma Honor's Society, Faculty Senate Computer Service Committee, Sigma Phi Epsilon Treasurer and Men's Club Rowing. He is the father of two children under the age of two. Originally from Buffalo, Aliotta is an avid Buffalo Bills and Buffalo Sabres fan. He is also a huge enthusiast of all thing’s computer related, including learning multiple programming languages, hardware design, and other geeky interests. In his spare time, Aliotta enjoys brewing beer, building things, and exercising.


  • Financial Modelling & Valuation
  • Programming
  • Financial Services


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Quantalytix, Inc.

Quantalytix, headquartered in Birmingham, Ala., was founded in 2016 by former community bankers, Chris Aliotta and Will Bryant, who understand from first-hand experience the information bank lending executives need to make timely and informed decisions to drive revenue, manage risks, and streamline operations. Both observed that banks had a tremendous amount of data yet struggled to add top-line revenue or bottom-line cost savings. Unsatisfied with current technology platforms used for risk and loan management, where the data was extremely siloed and not easily accessible, they developed an enterprise bank management software platform for community financial institutions to help monetize data. The cloud-based platform is designed to: • Align an institutions’ data strategy with how they want to run their institution; • Tap into real-time, sound data that provides actionable insights; • Effectively manage loan portfolios; • Reduce risk, thereby enabling smarter decisions to be made across the entire organization; • And Serve as a single source of truth for loan portfolio reporting, analysis, and profitability. The enterprise bank management software compiles and aggregates performance metrics of the financial institution, enabling its management to quickly monitor efficiencies, identify problems and opportunities, and effectively plan for growth. Information can be gated to allow different levels of management to see only what is related to their specific roles and responsibilities. More than just a dashboard, it provides users the ability to drill down on specifics as needed. It streamlines the ever-increasing amount of data financial institutions manage in an easy and sophisticated manner, seamlessly integrates with existing systems, and has built-in quality assurance checks and automation to ensure both integrity and quality while saving users’ time. Additionally, all financial institution clients can retain ownership of their data.


  • FinTech
  • Banking
  • Analytics