Banking Analytics

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.

Creating Value across Functional Areas

Client Enrollment Portfolio Transfer Advisor Platform Sales Support
Cash Services Information Delivery Client Statements and Tax Packages
Portfolio Strategy Management Portfolio Aggregation Brokerage
Portfolio Modelling Portfolio and Account Monitoring
Order Management Trade Execution Mobile Trading Post Trade STP
Predictive Analytics Clearing and Settlement Margin and Netting
Custody Administration and Reconciliation Corporate Actions Record – Keeping
Fees and Commissions Collateral Management Retirement Benefit Payment Services
Market Risk AML and KYC Pre – Trade Compliance
Counterparty Risk Compliance Reporting Fraud

Our Expertise

Cross Market Surveillance

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.

Cloud Migration

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

Regulatory Compliance

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.

Success Stories

Trade Surveillance

Set-up the trade surveillance for top-3 global investment bank and resolved data challenges in pipelines, quality and alerting
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Customer LifeTime Value Prediction

Calculated customer’s value using the revenue forecast and churn probabilities resulting in 50% increase in operational efficiency
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