Machine learning in bankinguser2021-03-18T08:27:16+00:00
Sigmoid’s data consulting, data engineering and data science services are used by global banks and diversified financial services companies to get a tight grip on trading activities, that transcend geographies and markets. We help organizations tame huge volumes of data and build effective solutions to flag, report and investigate the irregularities.
Through near real-time collation and visualization of data sets across asset classes, markets, exchanges and ECNs, the surveillance teams can track irregularities efficiently using views similar to modern day traders.
Curbing Market Manipulation
Using complex algorithms, AI and empirical rule based models, Surveillance teams can be empowered to track and detect various Market Manipulation techniques like ‘Quote Stuffing’, ‘Pump and Dump’ and ‘Spoofing’ among others.
Flag Suspicious Transactions
Build correct infrastructure and employ modeling techniques to flag malpractices like Price Fix Manipulations, Partial Filling, and Front Running by analyzing factors like execution speed, market depth, capital commitments, etc.
Move to the right cloud environment that meets your data standards and also saves cost. Our cloud experts build an ideal architecture and ensure seamless migration without risking production SLA and data quality.
Data Lake Management
Overcome the challenges of increasing data volumes with data lakes. Ensure easier, faster and more secure ways to manage your data and explore the right data science techniques for accurate analysis.
Customer Portfolio & Segmentation
Classify and group customers based on their behaviors, demographics or specific characteristics to discover high-value and low-value segments. Providing targeted offers improves customer retention and loyalty.
Efficient and Manageable Alerting
Modern algorithms use complex AI and ML based implementations for efficient monitoring of factors that raise flags. This helps in un-choking of flag pipelines, leading to a more focused approach for resolving priority flags.
Faster Processing Pipelines
Reduce the data processing timelines from T+X days to T+X-N days through efficient data engineering pipelines, use open-source or proprietary data querying engines to implement suitable changes to current setup
All compliance requirements boils down to hundreds of tech projects. We effectively train and build scalable data models to adhere to the latest regulatory and compliance requirements, implementing stronger governance policies.
Set-up the trade surveillance for top-3 global investment bank and resolved data challenges in pipelines, quality and alerting