Euclid is experienced in building high computational engines based on Directed Acyclic Graph architecture for its clients. Solutions also include capabilities like real-time risk, real-time scenarios and temporal/bi-temporal. Along the same lines, Euclid has built in-house customizable solution called “qGraph”. It supports real-time pricing, risk for Interest Rate Swaps and Euro Dollar Futures. It supports integration of data from Bloomberg or other third-party data providers. As per models, it can integrate with any model that is coded in C or JAVA. The engine’s underlying architecture is based on Directed Acyclic Graph ( DAG ).
How cloud migration can help your business
Maximizes performance of the engine by taking advantage of multi-core hardware
UI virtual grid framework display supports up to 200K records and is still responsive
End to end performance goal is efficient in getting data to compute and results to UI
Clean and modular design for easy integration of client models
Multi-Asset Support – IRS, ED Futures, FX Options, CCY Swaps, Equities & Equity Options
Overal portfolio optimization for aggregation per user/book/counterparty
Supports temporal and Bitemporals
Dedicated to delivering exceptional Cloud Enablement Solution.
Compliance involves maintaining accurate records, conducting regular audits and assessments, and implementing policies and procedures to prevent and detect potential violations.
Operational risk management
The goal of is to ensure the company can effectively achieve its objectives while protecting against potential losses by identifying, assessing, and mitigating risks associated with an company 's internal processes, systems, and human factors.
Model risk management
Ensuring that models are appropriately calibrated, validated, and subject to regular review and testing as financial models are used to make important business decisions
Computer Vision for image and video analysis
Extract valuable insights and information from visual data, such as detecting abnormalities in medical images, analyzing traffic patterns in surveillance footage, and identifying defects in manufacturing processes.
Identify suspicious patterns, behaviors, or transactions that indicate potential fraud, and to take action to prevent further fraudulent activity
Streamline, optimize, and automate business processes. Automate repetitive, time-consuming, and manual tasks automatically, reducing the need for human intervention and improving efficiency.
Identify security vulnerabilities before they can be exploited by attackers. Evaluating security vulnerabilities in an organization's tech infrastructure improving their overall security and reducing the risk of a security breach.