Altair’s 30-year history working with financial service organizations – including many of the world's largest banks, credit unions, and mortgage service providers – means we understand how financial services analytics help organizations in the areas of risk mitigation, regulatory oversights, new customer engagement channels, operational insight, and more. Our easy-to-use, no-code data transformation, machine learning, and real-time data visualization and stream processing platform empowers executives, financial analysts, and data scientists to gain insight using governed, trusted, and accurate data.
Leverage automated workflows that minimize human interaction across the enterprise and automates bank reconciliation tasks. Consolidate thousands of reports and spreadsheets, standardize reporting formats, and improve forecasting. Seamless integration with robotic processing automation (RPA) helps financial services reduce costs and cut inefficiencies from back office operations.
Streamline the lending lifecycle and mitigate risk. Altair’s experience in loan onboarding, scorecards for origination, loan portfolio and servicing, collections optimization, and changes to credit lines are the many areas in which a single financial services analytics platform is used by many of the world’s banks and credit unions.
Analyze market conditions and trading activity to make smart decisions. Identify cases of potential spoofing, quote stuffing, wash trading, and other fraudulent activity. Score traders based on the risk they take on and compare their current performance to past performance. Analyze real-time and historical financial data to view all trading activity and prevent fraud.
Banks, hedge funds, asset managers, and other financial firms use FlexTrade software to reduce their trading costs, increase their trading velocity, and increase the profitability of their trading operations while maintaining compliance with all applicable banking laws and regulations.
Auditors are under significant pressure to keep expenditures down whether they work for an external audit firm or are part of an internal audit team. Achieving cost-effective audits requires organizations to do more with less - while maintaining or increasing audit quality. To succeed auditors not only need the right expertise and process but also the right data analytics tools.