Data Analytics Solutions for Finance Industry | Altair
Financial Services

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.

How to Guide

Prevent Financial Fraud with Data Analytics

Understand the complex environment of financial fraud and how to develop agile strategies to identify and combat it effectively.

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Reconciliation

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

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

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

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.

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Credit Origination

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.

Learn About Solutions for Credit Unions and Banking

Learn How to Use Scorecards to Minimize Risk and Increase Revenue

Financial Marketing Analytics

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

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.

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Featured Resources

Advance Your RPA Initiatives

Reduce hard costs, save time, and improve output quality in financial reporting.

Datasheets

Financial Fraud Mitigation with Data Analytics

Fraud mitigation requires technologies and business processes that are flexible in their construct, easily 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.
Data from all business units and functional silos must be included to create a holistic view of the success of fraud operations. The insight found in classical auditing techniques and predictive machine learning models, combined with the expertise of fraud analysts can foster an evidenced-based methodology to quickly respond to new financial crimes.

Webinars

Accelerate Exception Reporting for Daily Debit Reconciliation

Learn how banks and credit unions save hundreds of hours per year using Altair Monarch to automate the identification of exceptions in the daily debit card reconciliation process. We’ll demonstrate how we extract and transform data from both the core banking system and the debit processing solution and use filtering and calculated fields to identify the transactions requiring investigation.

Presentations

How To Achieve Optimized Trading Analytics

In this webinar, we discuss the benefits of analyzing intraday trading risk and performance, the downsides of waiting for end-of-day reports, and the challenges associated with building and using risk compliance dashboards that traders and compliance managers can use effectively to inform trading decisions. We will also demonstrate methods for code-free development of sophisticated Real-Time analytics systems that can be customized to fit the unique requirements of a firm, desk, or trader.

Webinars
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