
SEI Novus Platform
Financial analytics software
Financial research software
Financial risk management software
Financial services software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if SEI Novus Platform and its alternatives fit your requirements.
Contact the product provider
Small
Medium
Large
-
What is SEI Novus Platform
SEI Novus Platform is a portfolio analytics and risk management platform used by institutional investment teams to monitor exposures, performance, and risk across portfolios. It supports multi-asset analytics, scenario and stress testing, and reporting workflows for portfolio managers, risk teams, and investment operations. The platform is typically deployed as an enterprise solution and integrates with market data, positions, and reference data from upstream systems to produce standardized analytics and dashboards.
Institutional-grade risk analytics
The platform centers on portfolio risk and exposure analytics designed for institutional investment processes. It supports factor-based views, scenario analysis, and stress testing to help teams understand drivers of risk and return. This aligns well with organizations that need consistent analytics across multiple portfolios and strategies.
Cross-portfolio reporting workflows
SEI Novus Platform provides reporting and dashboarding capabilities aimed at recurring internal and client-facing deliverables. It helps standardize metrics and presentation across teams, reducing reliance on ad hoc spreadsheet processes. This is useful for firms that need repeatable oversight across accounts, sleeves, or mandates.
Enterprise data integration orientation
The product is commonly positioned to ingest holdings, transactions, benchmarks, and market data from external sources and internal systems. This integration-first approach supports centralized analytics rather than isolated desktop tooling. It can fit environments where multiple upstream systems feed a single analytics layer.
Implementation and data dependency
Value depends heavily on the quality and timeliness of input data such as positions, security master, and pricing. Implementations often require mapping, normalization, and ongoing data governance to keep analytics consistent. Organizations without mature data operations may face longer time-to-value.
Less suited for self-serve research
Teams primarily looking for broad market data exploration and lightweight charting may find an enterprise portfolio analytics platform more than they need. Research-centric workflows can require additional data terminals or specialized research tools alongside the platform. As a result, it may not replace dedicated market research environments for all users.
Complexity for smaller teams
The breadth of analytics, configuration, and reporting can introduce operational overhead for smaller investment organizations. Users may require training to interpret factor models, scenarios, and risk outputs consistently. Smaller firms may prefer simpler tools if they do not need enterprise controls and multi-portfolio governance.
Seller details
SEI Investments Company
Oaks, Pennsylvania, USA
1968
Public
https://www.seic.com/
https://x.com/SEIinvestments
https://www.linkedin.com/company/sei/