FinTECH provides machine learning solutions for a wide range of applications including loan and insurance underwriting, credit risk analysis, fraud detection and prevention, portfolio management, style drift analysis, algorithmic trading, news and sentiment analysis etc.
FinTECH leverages its Artificial Intelligence experience for fraud detection, anti-money laundering, risk assessment, credit analysis, loan optimization, cyber security and other use cases across industry verticals.
Integrated, scalable capabilities for collaborative data visualization and data wrangling, advanced predictive analytics via scorecards and machine learning, and immersive decision strategy design.
Experienced business analysts need the ability to improve high-value decisions with sophisticated, predictive models. FinTECH Analytic Modeler Scorecard Professional provides advanced analytics
Open Source Libraries & Apache Spark
Powered by Spark scalability, the FinTECH Platform supports top open data science languages and libraries, including Python, R, SQL and Scala, and utilities such as Spark ML.
Analytic Lifecycle Management
Manage your ever growing collection of decision assets & analytic models across the entire lifecycle. FinTECH Decision Central minimizes compliance risk by providing a central repository.
Decision Management helps business develop analytically-powered applications that include data ingestion; analytics (insight or prediction); decision rules (articulating engagement options).
Data Access & Exploration
Connect to and easily access, extract, normalize and ingest data from any source — bureau, data lake, batch, or streaming — or in any form — structured or unstructured or challenge.
Visual Data Exploration
Data exploration can be ad hoc or structured. Enables users to discover trends and patterns in how customers react to business decisions and product strategies.
The data wrangling user experience leverages the latest techniques in data visualization, machine learning and human-computer interaction.
Advisory & Analytics
FinTECH team is rooted in credit training and views each debt/equity transaction in context of inherent strengths and potential risks.
Third Party API Development
Development of cash flow and valuations using INTEX, TREPP and BLOOMBERG API.Development on third party DB providers like MBS Data, Moody’s, Bloomberg etc.
Development of cash flow and valuations using INTEX, TREPP and BLOOMBERG API.Development on third party DB providers like MBS Data, Moody’s, Bloomberg etc.Development of data base by capturing data from various sources and writing loaders.
Optical Character Recognition to capture data using bleeding edge machine learning models.
We have expertise in helping clients migrate to Microsoft Azure, Google Cloud Platform and Amazon Web Services. The cloud is the future and we make this transition hassle-free.
Google Machine Learning APIs
We have expertise in leveraging Google’s Machine Learning algorithms for projects of our clients.
Extensive experience helping bulge-bracket clients with workflow automation using Microsoft’s Visual Basic for Applications (VBA). We are able to deliver ‘anything’ VBA is capable of doing.
We have expertise in using deep learning for return prediction, portfolio construction, trading strategies and predicting corporate bankruptcy.
We have extensive experience in helping clients automate their workflow. Work flow automation leads to companies becoming lean. This makes companies more agile and better able to react to changing competitive dynamics.