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.
Financial fraud takes countless forms and involves many different aspects of business including; insurance and government benefit claims, retail returns, credit card purchases, under and misreporting of tax information, and mortgage and consumer loan applications.
Combating fraud requires technologies and business processes that are flexible in their construct, can be understood by all who are involved in fraud prevention, and are agile enough to adapt to new attacks without needing to be rebuilt from scratch. Armed with advanced data analytics, firms and government agencies can identify the subtle sequences and associations in massive amounts of data to identify trends, patterns, anomalies, and exceptions within financial transaction data. Specialists can use this insight to concentrate their attention on the cases that are most likely fraud.
This guide will help you understand the complex environment of financial fraud and how to identify and combat it effectively.
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.
Reduce hard costs, save time, and improve output quality in financial reporting. Robotic Process Automation (RPA) is the use of robotic software to automate time-consuming, high-volume, repetitive back-office activities. RPA is driving the need to streamline business activities that lower costs and eliminate human error. Altair fits perfectly with RPA initiatives by automating repeatable data transformation processes using models that standardize report formats designed to meet end user and regulatory requirements.
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.