Financial Services

Altair’s 30-year history working with financial service organizations including many of the largest global banks, credit unions, and mortgage service providers means we understand how analytics can help you 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 enables executives, financial analysts, and data scientists to collaboratively use insight using governed, trusted, and accurate data.

Machine Learning

Gartner® Market Guide for Multipersona Data Science and Machine Learning

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Reconciliation

Leverage automated workflows that minimizes 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 drive out inefficiencies from back office operations and reduces costs.

Lending Lifecycle

Streamline the lending lifecycle and mitigate risk. Altair’s experience in loan on-boarding, scorecards for origination, loan portfolio and servicing, collections optimization, and changes to credit lines are but the many areas in which a single analytics platform is used by many of the world’s banks and credit unions.

Electronic Trading

Analyze market conditions and trading activity to make smart timing and execution 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 data to view all trading activity and prevent fraud.




Detect Fraudulent Activities

Raw data arriving in PDF or text-based reports from clients and 3rd party systems can create confusion due to double-payments, cash or billing schemes, or other types of corporate fraud. Altair data preparation solutions can automate the extraction and transformation of data from these data formats and apply advanced fraud detection techniques such as Benford’s Law or the Gestalt tests. Easily generate and deploy business rules using Altair predictive analytics to trigger against probable fraudulent activities. Altair’s deep learning is very efficient at modeling complex relationships between inputs, outputs, and finding fraudulent patterns in large amounts of data.

Credit Origination

Financial services struggle to model risk accurately, transparently, and in regulatory compliance. This can be especially challenging when trying to determine who might expose risk to the business when offering lines of credit to existing or new applicants. With Altair, the ability to score applicants of risk-based products or creating a predictive scoring of credit line increase or authorization requests can help financial service organizations better understand who might be at greater risk to default on credit loans. With this knowledge better collection approaches and deployment strategies for clients in arrears can be leveraged.

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Financial Marketing Analytics

Marketing teams are often challenged to predict how customers will respond to their campaigns. Several distinct and vastly different datasets are required to tailor a successful marketing campaign that may focus on product cross-sell and upsell or on new customer acquisition. Altair removes the complexity of developing a marketing analytics campaign by automating and repeating processes used in machine learning models designed to show the probability of success. Testing scenarios against changes in controllable and uncontrollable variables enables marketing campaigns to deploy a strategy that reaches the right audience, with the right message, using the right channel.

Electronic Trading

Delays in decision making are costly in electronic trading – whether you’re dealing with equities, fixed income, FX, futures, or commodities. Waiting for end-of-day reports means you’re likely to miss profitable opportunities or fail to respond to threats to compliance until it’s much too late. Altair gives traders, quants, and compliance officers the tools they need to build and deploy their own real-time monitoring and analysis systems without writing any code. The Altair platform supports the specific requirements of high frequency trading desks and allows them to react immediately to fast moving market events.

Featured Resources

Guide to Using Data Analytics to Prevent Financial Fraud

Financial fraud takes countless forms and involves many different aspects of business including; insurance and government benefit claims, retail returns,...

eGuide

Altair Visual Analytics is Core Element in FlexTrade Securities Trading Program

Banks, hedge funds, asset managers, and other financial firms use FlexTrade software to reduce their trading costs, increase their trading velocity, and...

Customer Stories

Advance Your RPA Initiatives

Reduce hard costs, save time, and improve output quality in financial reporting. Robotic Process Automation (RPA) is the use of robotic software to automate...

Case Study

Streamline Audit Processes with Self-Service Data Preparation

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...

Use Cases
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