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Quantifi

  • What it is:Quantifi provides advanced risk management, analytics, and trading solutions for financial markets and commodities. It serves global banks, asset managers, hedge funds, insurers, pension funds, brokers, and corporates.
  • Best for:Tier-1 Banks, Credit Hedge Funds, Asset Managers
  • Pricing:Starting from Custom pricing
  • Rating:82/100Very Good
  • Expert's conclusion:Quantifi provides cross-asset analytics, credit modeling, and regulatory compliance tools, making it best suited for large, financially powerful financial institutions.
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Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Quantifi and What Does It Do?

Quantifi is an industry leader in providing risk management, analytics, and trading solutions to financial institutions and commodity firms. Established in 2002, Quantifi has developed and deployed sophisticated integrated platforms to top-tier banks, asset managers, hedge funds and many others around the world.

Active
📍Summit, New Jersey
📅Founded 2002
🏢Private
TARGET SEGMENTS
Global banksAsset managersHedge fundsPension fundsInsurance companiesCommodity trading firmsBrokersClearing membersCorporates

What Are Quantifi's Key Business Metrics?

📊
200+
Global clients
📊
40
Countries served
📊
5 of 6
Top global banks as clients
📊
2 of 3
Top asset managers as clients
💵
$14.4 million
Annual revenue

How Credible and Trustworthy Is Quantifi?

82/100
Excellent

With over 20 years of operational experience as a premier risk and analytics provider, Quantifi has demonstrated its strength and credibility in the marketplace with a long list of high-profile clients (including 5 of the 6 largest banks globally), ongoing innovation in products, and consistent growth momentum.

BREAKDOWN
Market Position90/100
Operational Maturity85/100
Product Innovation80/100
Financial Stability75/100
TRUST SIGNALS
Founded by Rohan Douglas, former head of Citi's global credit derivative and emerging market trading researchTrusted by 5 of 6 largest global banks20-year operating history with documented growth trajectoryContinuous product innovation with version releasesMulti-regional presence (EMEA, North America, Asia Pacific)Award-winning solutions recognized for client focus and innovation

What is the history of Quantifi and its key milestones?

2002

Company founding

Rohan Douglas started Quantifi out of his attic in New Jersey with the mission of making sophisticated risk management and analytics available to all market participants.

2002-2022

Global expansion

Has expanded footprint to cover EMEA, North America, and Asia Pacific regions; and grown client base to 200+ institutions across 40+ countries.

2022

20th anniversary milestone

Reached milestone of 20 years of operation with well-established brand that embodies innovation and excellence in service to clients.

Who Are the Key Executives Behind Quantifi?

Rohan Douglas— Founder and CEO
Previously headed Citi's Global Credit Derivatives and Emerging Markets Trading Research Groups.

What Are the Key Features of Quantifi?

👥
Enterprise Risk Management
Quantifi offers comprehensive risk management capabilities for markets, credit, counterparties and liquidity.
📊
Cross-Asset Trading
Offers integrated trading solutions for a variety of asset classes.
👥
Position Management
Provides real-time position tracking and analytics across entire portfolio.
✨
Regulatory Reporting
Provides automated compliance and regulatory reporting services, including IBOR transition tools.
✨
Value-at-Risk (VaR) Analytics
Provides next generation Value-at-Risk (VaR) models using state-of-the-art methodologies.
✨
Live Risk Monitoring
Provides cloud-based, real-time risk monitoring and analytics.
👥
Margining and Collateral Management
Provides margin analytics and collateral optimization strategy development services.
✨
Front-to-Back Operations
Offers an integrated platform that covers pre-trade to post-trade operations.

What Technology Stack and Infrastructure Does Quantifi Use?

Infrastructure

Cloud-based platform with modern technology architecture

Technologies

Cloud computingMachine learningArtificial intelligenceAPIsJavaScriptHTMLPHP

Integrations

Pre-trade integrationPost-trade integrationRegulatory reporting systemsRisk management platforms

AI/ML Capabilities

Integrated AI/ML capabilities for data science, predictive analytics, and automated decision-making

What Are the Best Use Cases for Quantifi?

Global banks
Provides enterprise-grade risk management and regulatory compliance for multiple asset classes.
Asset managers and hedge funds
Provides portfolio risk analytics, position management, and cross-asset trading services on a single platform.
Insurance companies and pension funds
Provides market risk, counterparty risk, and regulatory reporting services for complex portfolios
Commodity trading firms
The company provides specialized commodity risk management, position tracking, and trading analytics (number 18)
Brokers and clearing members
Risk management of clients' trades, margining analytics, and post trade operations (number 19)
NOT FORSmall or cost-constrained institutions
Some users may experience problems in finding enterprise pricing and implementation complexity (number 20)

How Much Does Quantifi Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Quantifi Analytics PlatformCustom pricingEnterprise-grade pricing and risk analytics solution. Contact vendor for specific quotes based on deployment model (on-premises or cloud) and feature set required.—
Data Science Platform (DSP)Custom pricingCloud-native integration combining cross-asset analytics with big data tools and business intelligence capabilities.—
Credit SolutionCustom pricingSpecialized module for credit markets including CDO calibration, CDS, CLOs, and structured credit products.—
Portfolio Management System (PMS/OMS)Custom pricingOrder and portfolio management system with multi-asset pricing models and real-time P&L reporting.—
Quantifi Analytics PlatformCustom pricing
Enterprise-grade pricing and risk analytics solution. Contact vendor for specific quotes based on deployment model (on-premises or cloud) and feature set required.
Data Science Platform (DSP)Custom pricing
Cloud-native integration combining cross-asset analytics with big data tools and business intelligence capabilities.
Credit SolutionCustom pricing
Specialized module for credit markets including CDO calibration, CDS, CLOs, and structured credit products.
Portfolio Management System (PMS/OMS)Custom pricing
Order and portfolio management system with multi-asset pricing models and real-time P&L reporting.

How Does Quantifi Compare to Competitors?

FeatureQuantifiCompetitor (Generic)
Cross-Asset CoverageCredit, rates, fixed income, equities, FX, commoditiesVaries by vendor
Derivatives ValuationComprehensive vanilla to complex derivatives with OIS discounting and ARR supportVaries by vendor
API AccessMultiple APIs including Python, Java, C#Varies by vendor
Cloud CapabilitiesCloud-native deployment with multicore and grid computingVaries by vendor
Credit AnalyticsCDO calibration, credit indices, index tranches, CDS, CLOsVaries by vendor
Data Science IntegrationData Science Platform with machine learning and unstructured data supportVaries by vendor
Cross-Asset Coverage
QuantifiCredit, rates, fixed income, equities, FX, commodities
Competitor (Generic)Varies by vendor
Derivatives Valuation
QuantifiComprehensive vanilla to complex derivatives with OIS discounting and ARR support
Competitor (Generic)Varies by vendor
API Access
QuantifiMultiple APIs including Python, Java, C#
Competitor (Generic)Varies by vendor
Cloud Capabilities
QuantifiCloud-native deployment with multicore and grid computing
Competitor (Generic)Varies by vendor
Credit Analytics
QuantifiCDO calibration, credit indices, index tranches, CDS, CLOs
Competitor (Generic)Varies by vendor
Data Science Integration
QuantifiData Science Platform with machine learning and unstructured data support
Competitor (Generic)Varies by vendor

How Does Quantifi Compare to Competitors?

vs Generic Risk Analytics Vendors

Quantifi describes itself as a holistic, unified platform for Tier-1 banks, hedge funds, and asset managers with an integrated offering of pricing, risk and trading capabilities across multiple asset classes (number 21).

Strength is based on leading credit models, numerical methods that are advanced, and the ability to integrate seamlessly with modern data science tools, especially relevant for firms that manage large and complex derivative and credit portfolios (number 23).

vs Legacy Multi-System Approaches

Quantifi says it achieves operational efficiency by providing a singular framework for lifecycle management, valuation, risk analysis and reporting, thus eliminating operational costs caused by running multiple systems (number 22).

Quantifi's key competitive advantage is its unified architecture which enables firms to model consistently and make decisions rapidly when markets become unstable, such as was demonstrated in the 2025 market movement (number 24).

What are the strengths and limitations of Quantifi?

Pros

  • Comprehensive – supports both vanilla and complex derivatives across credit, rates, fixed income, equities, FX and commodities in a single platform (number 25).
  • Leading models – specializes in advanced credit analytics including CDO calibration, credit indices, and index tranches which are less common than many other models (number 26).
  • High performance – delivers near real time valuations with 700 times acceleration, demonstrated using AI, and has scaled from 50,000 to 1.1 million securities per day (number 27).
  • Modern API Integration – enables seamless integration with data science tools and proprietary systems through Python, Java, and C# APIs (number 28).
  • Cloud Native Flexibility - Data Science Platform combines analytics with big data tools for ad hoc analysis and custom workflows (number 29).
  • Regulatory Compliance - built in support for OIS discounting, negative interest rates, alternative reference rates and overnight index swap conventions (number 30).
  • Automation de la cycle d'exploitation des produits de crédit avec les événements par défaut, roulements d'index, fusions et mesures de risque
  • Scalabilité institutionnelle - Analyse vectorisée multithreadée avec technologie Grid Computing et TBB pour une scalabilité horizontale et verticale

Cons

  • Modèle de tarification personnalisé - Aucune tarification publique transparente disponible ; il faut contacter le fournisseur en personne pour obtenir un devis
  • Institutionnel - Apparemment conçu pour les grands établissements, pas clairement accessible aux petites entreprises ou aux particuliers spéculateurs
  • Peu d'informations sur la version gratuite - Pas de "freemium" ni d'options de test disponibles dans les documents disponibles
  • Complexité de l'implantation - Une grande quantité d'effort doit être investi en phase d'initialisation (onboarding) et d'affinage (calibration) en raison de la variété des fonctionnalités offertes
  • Venteurs lock-in - Des liens forts entre la plateforme et le cycle de vie du workflow peuvent engendrer des coûts d'éventualité lors de changement de fournisseur
  • Apprentissage plus difficile - Un nombre important de fonctions peut endiguer les utilisateurs qui n'ont besoin que d'analyses de base

Who Is Quantifi Best For?

Best For

  • Tier-1 Banks — Capacités d'analyse détaillées des valeurs des titres de créance, d'application des normes réglementaires et de gestion du cycle de vie des titres de créance spécialement conçues pour les opérations bancaires institutionnelles
  • Credit Hedge Funds — Capabilités avancées de modèles de crédit, de calibrage des CDO, d'appui à l'élaboration des indices de crédit, d'optimisation des portefeuilles pour des stratégies de crédit complexes
  • Asset Managers — Tarification multi-classe, rapport financier réel temps, système de gestion de portefeuille permettant des stratégies complexes de produits dérivés et structurés
  • Fixed Income Traders — Spécialisé dans les obligations, les swaps, les swaptions, les coups/coupons avec 40+ indicateurs de prix et de risques pour analyser la sensibilité au niveau du portefeuille
  • Quantitative Research Teams — Plateforme de data science avec API Python permettant de développer des modèles personnels, de tester ces derniers et de faciliter l'intégration avec des flux de travail de Machine Learning

Not Suitable For

  • Retail Traders — Plateforme de grand gabarit avec tarification personnalisée et fonctionnalités complètes destinée aux utilisateurs institutionnels et non aux traders individuels
  • Small Financial Firms — Haute charge d'implantation et modèle de licence personnalisé rendent cette solution peu rentable pour les organisations disposant de budgets limités.
  • Users Seeking Simple Solutions — This is a general-purpose solution that is well-suited for large-scale financial institutions with multiple assets, but may be over-engineering for basic risk calculation purposes.

Are There Usage Limits or Geographic Restrictions for Quantifi?

Scalability
Demonstrated scaling to 1.1M securities daily; multi-threaded, vectorized architecture supports horizontal and vertical expansion
Data Management
Advanced data management for complex big data sets; handling of credit indices and structured products with complex data relationships
Integration Points
Multiple API endpoints (Python, Java, C#); compatible with third-party analytics and mainstream business intelligence tools
Deployment Models
On-premises and cloud deployment options; cloud-native Data Science Platform available
Asset Class Coverage
Covers credit, rates, fixed income, equities, FX, and commodities; expandable through open architecture

Is Quantifi Secure and Compliant?

Regulatory ComplianceBuilt-in support for OIS discounting, alternative reference rate frameworks, overnight index swap conventions, and negative rates - critical for regulatory compliance in derivatives valuation
Auditability and TransparencyPlatform designed with auditability and transparency for regulatory compliance and investor confidence
Enterprise ArchitectureBuilt on .NET technology with open interfaces supporting integration into existing secure systems and compliance workflows
Validation StandardsMaintains reliability through model validation standards and support from quantitative and technical teams for calibration and portfolio analysis
Cloud SecurityCloud deployment options available through Data Science Platform; specific security certifications not detailed in available materials

What Customer Support Options Does Quantifi Offer?

Channels
Business hours supportAvailable for enterprise clientsEnterprise tier
Hours
Business hours (EST timezone)
Response Time
Response within 24 hours for standard queries, priority support for enterprise clients
Satisfaction
Not publicly disclosed
Support Limitations
•Support details require direct vendor contact
•No public self-service knowledge base mentioned

What APIs and Integrations Does Quantifi Support?

API Languages
Python, Java, C#, C++
Architecture
Open interfaces with .NET technology foundation
Data Integration
ETL framework for seamless data feeds from third-party providers
Database
High-performance NoSQL database support
External Connectivity
Prime brokers, clearing houses, and custodians
BI Tools
Integration with mainstream business intelligence platforms

What Are Common Questions About Quantifi?

Quantifi supports all major asset classes (credit, rates, fixed-income, equity, foreign exchange, commodity) as well as many types of derivative products (vanilla and exotic).

Regulatory compliance is supported through native functionality for Overnight Indexed Swaps (OIS), Alternative Reference Rates (ARRs), Overnight Index Swap Conventions (OISC), Negative Interest Rate (NIR) conventions and others.

Quantifi can be deployed either on-premise, or in the cloud via a cloud-based data science platform for advanced analytics.

Quantifi has application programming interfaces (APIs) available for use by Python, Java, C# and C++ to enable integration with proprietary systems and workflows.

There are currently over 200 clients using Quantifi, representing five of six of the world's largest banks, two of three of the world's largest asset managers, plus a variety of other types of users such as hedge funds, pension funds and insurance companies.

Yes, the platform supports real time risk calculations, real-time profit/loss (P/L) monitoring, as well as interactive dashboards with the ability to drill down to trade level detail.

Is Quantifi Worth It?

As a company with over twenty-five years of experience with risk management and analytics solutions for the global financial markets, and with a client list that includes five of the world's six largest banks, Quantifi is a very well-established player in the risk management and analytics space. The platform excels at valuing complex derivatives, performing credit analysis and managing cross-asset risk and is therefore typically the first choice among sophisticated institutional end-users.

Recommended For

  • Large, tier-one banks requiring the most comprehensive derivatives valuation capabilities as well as regulatory compliance.
  • Hedge funds that focus on credit and require advanced CDO and structured credit analytics.
  • Large asset managers who have a portfolio of multiple asset classes.
  • Trading desks focused on fixed income and rates that require sophisticated risk metrics.
  • Quantitative research groups that need to integrate their data science workflow with the platform.

!
Use With Caution

  • Small to mid-size organizations without dedicated quantitative staff - requires significant resources to implement.
  • Organizations with relatively simple risk requirements - the platform will likely be over-engineered for this type of user.
  • Firms with small budgets for IT are likely to be unable to manage complexity in integrating their systems.

Not Recommended For

  • Individual investors or retail traders that use institutional platforms (i.e., enterprise solutions) need enterprise-focused solutions.
  • Smaller financial institutions that have limited funds available for IT may require customized pricing from the firm.
  • Clients who prefer a basic, "out-of-the box" solution will require some form of configuration and/or calibration.
Expert's Conclusion

Quantifi provides cross-asset analytics, credit modeling, and regulatory compliance tools, making it best suited for large, financially powerful financial institutions.

Best For
Large, tier-one banks requiring the most comprehensive derivatives valuation capabilities as well as regulatory compliance.Hedge funds that focus on credit and require advanced CDO and structured credit analytics.Large asset managers who have a portfolio of multiple asset classes.

What do expert reviews and research say about Quantifi?

Key Findings

Founded in 2002, Quantifi is a leading provider of financial technology and risk management, analytics, and trading solutions to its 200+ clients in 40 countries around the world; five of the six largest financial institutions globally utilize Quantifi’s solutions.

Data Quality

Good - comprehensive information available from official website, company publications, and industry sources. Pricing requires direct vendor contact. Financial details limited as private company.

Risk Factors

!
A private company that does not provide much information about its financial situation.
!
The cost structure associated with the firm’s pricing model lacks clarity/visibility.
!
New customers have difficulty implementing the system due to high levels of complexity in implementation.
!
Established competitors exert pressure on the firm to remain competitive.
Last updated: January 2026

What Additional Information Is Available for Quantifi?

Founder Background

Rohan Douglas, former head of Citi's Global Credit Derivatives and Emerging Markets Trading Research Group, founded the company, providing the platform with strong, applicable domain experience.

Global Presence

The company serves clients globally through three geographic regions (EMEA, North America, and Asia/Pacific), with multiple locations of offices throughout these regions.

Innovation Focus

In recent months, Quantifi has implemented the capability to leverage AI/Machine Learning to accelerate the valuation of large portfolios by 700 times.

Industry Recognition

The company has won numerous awards related to client service, innovation, and leadership in the development of risk management software.

20-Year Track Record

With twenty-plus years of operations, Quantifi has become synonymous with innovative financial analytical tools and an ongoing commitment to excellence.

What Are the Best Alternatives to Quantifi?

  • •
    Murex: A wide range of asset classes are supported by this enterprise trading, risk and operations system. Murex has been around longer in the trading space than some of the newer platforms however it is very complex. This is best suited to institutional clients that require a complete end to end front to back solution.
  • •
    Calypso Technology: The cross-asset trading and risk platform that is now part of Adenza. Adenza has a strong history in both derivatives and Treasury, so this is best for Banks that want an integrated Trading and Post Trade Solution.
  • •
    Numerix: Numerix provides Derivatives Pricing and Risk Management through analytics. Numerix has a strong math modeling heritage therefore if you prioritize being accurate on your valuations as opposed to optimizing your trading workflows then this is for you.
  • •
    FINCAD: Fincad provide Derivatives Analytics and Risk Solutions which are now owned by Zafin. Therefore, these are ideal for Mid-Market firms that want to price their derivatives without having the complexity of a full enterprise platform.
  • •
    Bloomberg MARS: The Multi-Asset Risk System is a portfolio risk analytics product from Bloomberg for Bloomberg Terminal users. It leverages the Bloomberg Data Infrastructure. If you are using the Bloomberg Terminal and want to be able to integrate your Risk Analysis into your existing terminal workflow, then this is for you.

Interest Rate Risk Metrics

Supported
VaR (Value at Risk)
Supported
PFE (Potential Future Exposure)
Real-time
Mark to Market
Cross-asset
Sensitivities
Full analytics
Duration & DV01

Risk Modeling Capabilities

Real-time Risk Calculation

Historical Scenarios

What-if Scenarios

Stress Testing

Monte Carlo Simulation

Sensitivity Analysis

How Does Quantifi Handle Hedge Accounting?

IFRS 9 ComplianceFull support with regulatory reporting
Hedge Effectiveness TestingWhat-if and scenario analysis
ASC 815 SupportCross-asset risk measures
Limit ManagementFlexible threshold configuration

Which instruments does Quantifi support?

Interest Rate SwapsCaps & FloorsSwaptionsFRAsBondsFloating Rate NotesCross-Currency SwapsCredit Default SwapsCDOs & CLOsFX Derivatives

What analytics and reporting features does Quantifi provide?

Real-time Analytics
Trade & portfolio level
Interactive Reporting
Drill-down to trade level
Custom Dashboards
Slicing and dicing capabilities
Pre/Post-trade Analysis
What-if scenarios
P&L Attribution
Live monitoring

What Data Sources and Integrations Does Quantifi Support?

ETL Framework
Seamless data feeds
Third-party Providers
Integrated market data
Database Support
High-performance NoSQL
Open APIs
C#, C++, Java, Python
Prime Brokers
Full workflow integration
Clearing Houses
Complete connectivity

Rate Scenario Analysis

Scenario TypeCapabilitiesPerformance
Historical ScenariosRapid calculationReal-time
What-if ScenariosAd-hoc portfolio analysisInteractive
Stress TestsPre-built & customCross-asset
Interest Rate ShocksFull risk measuresScalable
Multi-factor ScenariosMarket/credit/liquidityHigh performance

Valuation Methods

Market Standard Models

OIS Discounting

XVA Calculations

Multi-curve Pricing

Monte Carlo Simulation

Analytical Pricing

Expert Reviews

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