Finaprins
Solutions for Risk Management Teams
Risk Management teams are crucial for safeguarding financial institutions against adverse market movements. However, managing complex data, ensuring model accuracy, and generating timely reports can be a significant drain on resources. Finaprins’ data engineering expertise empowers your Risk team by transforming your data challenges into strategic assets. We can act as an extension of your team to manage data-intensive risk processes or as an enabler, providing the robust data foundations and automated pipelines your team needs to excel.
- Your Goal:To ensure that the market risk models (e.g., VaR, ES) used are accurate, reliable, and performing as expected over time, thereby validating their suitability for risk measurement, capital calculation, and decision-making, as well as meeting regulatory requirements.
- Typical problems/issues:
- Time-consuming manual processes for collecting, cleaning, and aligning Profit & Loss (P&L) and risk model output data for comparison.
- Lack of specialized data engineering resources to build robust and automated data pipelines for backtesting.
- Difficulty ensuring the quality and consistency of historical data used in backtesting procedures.
- Inadequate tools or systems for systematic and continuous model performance tracking from a data perspective.
- Interpreting backtesting exceptions can be muddled by underlying data quality issues.
- What Finaprins does:
Finaprins ensures your backtesting and model monitoring processes are built on a foundation of clean, reliable, and efficiently managed data, enabling your quantitative teams to focus on analysis rather than data wrangling. - How Finaprins does it:
We leverage our Data Engineering and Reporting Services to design and implement automated data pipelines for collecting and preparing P&L and risk model output data. Our Market Data Validation and Trade Data Standardization services ensure the integrity and consistency of historical data inputs. Using our TradeView platform, we can facilitate systematic data retrieval, transformation, and structuring, preparing data for your quantitative team’s backtesting methodologies (e.g., clean P&L vs. hypothetical P&L comparisons against VaR/ES). We also support Continuous Data Quality Monitoring for ongoing model performance data. - Compelling reason to buy:
Achieve more efficient and reliable backtesting processes, gain higher confidence in model performance assessments due to improved input data quality, free up valuable quantitative resources from manual data tasks, and ensure a robust data framework for regulatory compliance (e.g., FRTB model validation).
- Your Goal:To identify, measure, and understand significant concentrations of market risk within portfolios (e.g., by issuer, sector, country, currency, risk factor, or instrument type) to avoid disproportionate losses from specific events or correlated movements.
- Typical problems/issues:
- Difficulty aggregating accurate and standardized exposure data from disparate trading and position-keeping systems.
- Inconsistent data formats and definitions across systems hinder a holistic view of concentrations.
- Lack of efficient data pipelines to feed concentration risk analytics engines.
- Manual efforts to reconcile and map data for concentration analysis are error-prone and slow.
- What Finaprins does:
Finaprins provides the unified and high-quality data foundation needed for accurate and comprehensive market risk concentration analysis, allowing you to clearly identify and quantify portfolio vulnerabilities. - How Finaprins does it:
We utilize our Trade Data Transformation and Standardization services (including FpML and CDM implementation) and Market Data Integration capabilities to consolidate and harmonize exposure data from various sources. Our Data Engineering expertise allows us to build robust pipelines that feed your concentration risk models or our TradeView platform, which can be configured for customized aggregation and reporting of concentration metrics. - Compelling reason to buy:
Gain a clear, accurate, and timely view of all market risk concentrations through standardized and integrated data, enable more effective portfolio diversification strategies, reduce the risk of unforeseen losses from concentrated exposures, and simplify data preparation for concentration limit monitoring.
- Your Goal:To accurately and efficiently calculate key portfolio-level market risk metrics (VaR, ES) at various confidence levels and time horizons, providing a standardized measure of potential downside risk for internal management and regulatory reporting.
- Typical problems/issues:
- Ensuring the integrity, accuracy, and appropriate formatting of vast amounts of market and trade data fed into risk calculation engines.
- Resource-intensive data preparation and validation processes before risk calculations can be run.
- Inconsistent application of data transformations or mappings across different asset classes or business units feeding into risk engines.
- Need for an independent check on the quality and consistency of data inputs to risk models.
- What Finaprins does:
Finaprins ensures your VaR, ES, and other standard market risk calculations are powered by consistently accurate, validated, and readily available data, improving the reliability of your risk figures. - How Finaprins does it:
We provide high-quality, validated market data through our Market Data Sourcing & Distribution and Market Data Validation services. Our Trade Data Standardization and Data Models Implementation (FpML, CDM) ensure that trade data is consistently formatted and accurate. We build efficient Data Engineering pipelines using our TradeView platform to aggregate, transform, and prepare all necessary data, feeding it seamlessly into your existing risk engines or a calculation module. - Compelling reason to buy:
Improve the accuracy and timeliness of your market risk quantifications by using high-quality, standardized data, significantly reduce the time spent on data preparation for risk calculations, free up internal resources, and enhance confidence in your regulatory and internal risk reporting.
- Your Goal:To precisely quantify and continuously monitor how portfolio or instrument values will change in response to small movements in underlying market risk factors, enabling effective hedging and risk management.
- Typical problems/issues:
- Accuracy of sensitivity calculations is highly dependent on the quality of input market data (prices, volatilities, curves) and trade data.
- Handling large volumes of market and position data for frequent recalculations is a data engineering challenge.
- Lack of automated systems to aggregate and monitor sensitivities from different trading books or valuation models.
- Difficulty in setting up reliable data feeds for sensitivity-based limit monitoring.
- What Finaprins does:
Finaprins delivers the robust data infrastructure needed for accurate calculation and effective monitoring of key market risk sensitivities, ensuring your risk drivers are based on sound data. - How Finaprins does it:
We supply clean, validated market data and standardized trade data (leveraging FpML/CDM where applicable), which are essential inputs for your valuation models that compute sensitivities. Our Data Engineering services can build automated pipelines to feed your valuation engines. We can then help aggregate the calculated sensitivities, facilitate their monitoring against limits, and generate reports through TradeView or by integrating with your existing systems. - Compelling reason to buy:
Enhance the accuracy of your risk sensitivity calculations with reliable input data, enable more effective dynamic hedging strategies, streamline the monitoring of sensitivity-based limits, and reduce operational risk associated with poor data quality in valuation processes.
- Your Goal:To understand the potential impact of severe but plausible market shocks (historical or hypothetical) on portfolio value, liquidity, and capital adequacy, thereby assessing resilience and identifying vulnerabilities.
- Typical problems/issues:
- Sourcing, cleaning, and aligning historical market data for relevant stress scenarios is complex and time-consuming.
- Mapping current portfolio positions accurately to historical data or hypothetical scenario parameters requires robust data transformation.
- Aggregating stress test results across diverse asset classes and risk types, often originating from different systems, is challenging from a data perspective.
- Ensuring consistency in data application when running firm-wide stress tests.
- What Finaprins does:
Finaprins provides the data engineering backbone to efficiently prepare and manage the complex datasets required for rigorous market risk stress testing, enabling more accurate impact assessments. - How Finaprins does it:
We assist in sourcing and preparing historical market data for chosen scenarios, ensuring its quality through our Market Data Validation services. Our Trade Data Transformation capabilities ensure your current portfolio data can be accurately mapped and re-priced under stress conditions. We leverage Data Engineering to build pipelines that prepare data for your stress testing engines and can help aggregate and structure results from various models or systems using our TradeView platform for consolidated analysis and reporting. - Compelling reason to buy:
Improve the efficiency and accuracy of your stress testing exercises with well-prepared and consistent data, reduce the manual effort in data gathering and alignment for scenarios, enhance your understanding of tail risks, and support robust capital adequacy assessments and regulatory submissions.
- Your Goal:To ensure that all market risk-taking activities remain within the institution’s approved risk appetite by systematically monitoring exposures (VaR, sensitivities, concentrations, stress test impacts) against established limits.
- Typical problems/issues:
- Manual or fragmented limit monitoring processes are error-prone and struggle with timeliness, especially with diverse data sources.
- Difficulty integrating real-time or near real-time exposure data from multiple trading and risk systems.
- Lack of a unified data platform for a consolidated view of limit utilization across all market risk types.
- Ensuring the data feeding the limit monitoring system is accurate and consistently defined.
- What Finaprins does:
Finaprins builds and manages the automated data pipelines that ensure timely, accurate, and consolidated tracking of your market risk exposures against limits. - How Finaprins does it:
Our Data Engineering and Reporting Services excel at Internal Data Integration, pulling exposure data (VaR, sensitivities, stress test results) from your various source systems. We standardize this data using our Trade Data Standardization and Market Data Transformation services. We then build automated workflows, potentially on our TradeView platform or integrated with your systems, to compare exposures against limits, generate utilization reports, and configure alerts for excesses. - Compelling reason to buy:
Achieve proactive and reliable risk control through automated limit monitoring, reduce operational risk associated with manual tracking, ensure timely escalation of limit breaches with accurate underlying data, and maintain clear evidence of adherence to your risk appetite framework.
- Your Goal:To ensure that all market risk calculations, models, and reports are based on high-quality, reliable, and up-to-date market data (prices, rates, volatilities, correlations, etc.).
- Typical problems/issues:
- Dealing with multiple market data vendors and internal sources, leading to inconsistencies, errors, and stale data.
- Manual, time-consuming processes for identifying and remediating data quality issues.
- Lack of automated validation checks, exception handling, and data quality scoring.
- Uncertainty about the impact of poor data quality on the accuracy of critical risk metrics and models.
- What Finaprins does:
Finaprins delivers expertly managed, validated, and high-quality market data, forming the trusted foundation for all your market risk management activities. This is one of our core strengths. - How Finaprins does it:
This is central to our Market Data Management Solutions. We implement Market Data Sourcing & Distribution, Market Data Validation (to eliminate errors, duplicates, inconsistencies), and Market Data Transformation. Our TradeView platform, coupled with our Continuous Data Quality Monitoring service, applies automated checks (stale price detection, outlier analysis, completeness, cross-source comparisons), establishes data quality scoring, and defines remediation workflows, providing clean, accurate data ready for your risk systems. - Compelling reason to buy:
Dramatically improve the accuracy and reliability of all your market risk calculations and models, reduce operational risk stemming from bad data, increase confidence in risk reports and decision-making, and free your team from the burden of manual data cleansing.
- Your Goal:To effectively communicate key market risk exposures, trends, limit utilization, stress test results, and model performance to various stakeholders (senior management, risk committees, trading desks, regulators) in a clear, concise, and timely manner.
- Typical problems/issues:
- Time-consuming and manual aggregation of data from various risk systems, spreadsheets, and databases for reporting.
- Ensuring consistency, accuracy, and the correct level of detail across different reports and for diverse audiences is a data challenge.
- Difficulty in automating the data feeds for report generation tools or business intelligence platforms.
- Struggling to meet tight internal and external reporting deadlines due to data gathering and reconciliation delays.
- What Finaprins does:
Finaprins streamlines your market risk reporting by automating data aggregation and preparation, ensuring your reports are based on accurate, consistent, and timely data. - How Finaprins does it:
We leverage our Data Engineering and Reporting Services, including Internal Data Integration and Reporting. We design and implement automated data pipelines using TradeView or by integrating with your existing reporting tools, to gather, consolidate, and transform data from all necessary risk sources. We ensure data is standardized and validated before it populates your report templates or dashboards, and can assist with Regulatory Reporting Services aspects if applicable. - Compelling reason to buy:
Significantly reduce the manual effort and time spent on preparing market risk reports, improve the accuracy, consistency, and timeliness of your risk communication, enable your team to focus on analysis and commentary rather than data compilation, and ensure reliable reporting to all stakeholders.
Let's Start a Conversation
Ready to optimize your financial data processes and drive your business forward? We’re here to help. Whether you have questions about our services, need a custom solution, or want to explore how we can support your goals, we’d love to hear from you. Get in touch with us today, and let’s unlock your data’s full potential together.
How much does it cost?
Our pricing model is designed to be transparent, flexible, and cost-effective, ensuring you get the best value for your investment. We offer a subscription-based service where you pay a predictable monthly fee, making it easy for you to forecast and manage your data management expenses.
By leveraging our service, you benefit from significant cost savings compared to building a data project from scratch on your own. Thanks to the economies of scale achieved by our shared data infrastructure serving multiple clients, we can offer competitive pricing. Many common elements across different features are reused and optimized, reducing duplication of effort and costs. This shared efficiency allows us to pass the savings on to you.
Our goal is to provide you with a high-quality, customized solution that meets your specific needs without unnecessary expenditure. The monthly fee consists of two main components: fixed part and variable part.
Fixed fee
Setup, Integration, and Shared Infrastructure
The fixed part of our pricing covers the essential foundational services required to deliver our solution effectively. This includes client acquisition and onboarding costs, where we ensure a smooth transition by understanding your needs and integrating you into our system seamlessly. We handle system integration by connecting with your input files and preparing tailored outputs that fit perfectly into your existing workflows. Additionally, the fixed fee accounts for the shared infrastructure - the minimal yet robust infrastructure necessary to run the service efficiently. By sharing this infrastructure among clients, we provide a reliable and high-performing solution while keeping your costs predictable and reasonable.
Variable fee
Usage-Based Resources and Services
The variable part of our pricing is directly tied to your actual usage, ensuring flexibility and cost-effectiveness. It encompasses expenses related to storage and computing power, which scale based on the number of records or the amount of data processed in megabytes. This means you only pay for the resources you consume. Additionally, it includes the costs of our team members who oversee and manage your processes, ensuring everything runs smoothly. If your solution requires any external licenses, those costs are also covered in this variable portion. This usage-based model allows the pricing to adjust according to your needs, providing a transparent and fair billing system that aligns with your operational demands.
Delivering Our Services: Flexible Options for You
We understand that every organization has unique needs and workflows. That’s why we offer flexible options for delivering our Data Engineering & Reporting services. Whether you prefer a fully managed service where we handle everything for you, or you want to interact directly through our TradeView WebUI or integrate via our API, you can choose the method that best fits your business requirements and technical environment. We’re committed to providing a solution that fits your needs while maintaining the highest standards of security and efficiency.
Managed Service
Delegate all aspects of data engineering and reporting to us. We handle integration and operations without unnecesary changes to your systems, freeing your team to focus on core activities.
TradeView Web UI
The WebUI presents a clean, point-and-click interface that allows business users to interact with complex data engineering processes conveniently, without requiring technical expertise
TradeView API
For custom workflows and automations on your side, our technology-agnostic API enables you to connect from any software, seamlessly integrating TradeView into your existing systems.
Building Tailored Solutions: Our Process Explained
From consultation to prototype to ongoing collaboration, here's how we tailor our service for you.
01
Initial workshop
Our journey begins with an in-depth initial workshop where we engage with your team to collect detailed information about your needs. This collaborative session allows us to gain insights into your data processes and identify areas where our services can add the most value.
Result: A report summarizing our findings, including key insights into your current processes, pain points, and opportunities for improvement.
02
Solution concept
Based on the insights gathered, we develop a tailored solution concept designed to address your specific challenges. Our team creates a strategic plan that outlines how our services will integrate with your systems, transform your data processes, and meet your objectives.
Result: A detailed solution description, typically presented in diagrams and workflow charts, illustrating how the proposed solution will function within your environment.
03
Building a prototype
Upon your approval of the solution concept, we swiftly move to build a prototype to demonstrate the practicality and effectiveness of our proposed solution. This prototype serves as a working model, allowing you to see the solution in action and provide feedback. This phase usually takes three business days.
Result: A minimum viable product (MVP) showcasing the core functionalities of the solution, enabling you to experience its potential benefits firsthand.
04
Target solution
After refining the prototype based on your feedback, we proceed to develop the full-scale, production-ready solution. Our team focuses on ensuring that the solution is robust, efficient, and seamlessly integrated into your existing systems. This development phase typically takes up to eight weeks.
Result: A fully functional, production-ready workflow that enhances your data management processes, ready for deployment in your operational environment.
05
Ongoing cooperation
We engage in ongoing cooperation to ensure that the implemented solution continues to meet your evolving needs. We deliver results on an agreed schedule, continually monitor performance, and make necessary adjustments to optimize efficiency.
Result: Continuous improvement of your data processes, leading to increased efficiency, reduced operational burdens, and better data quality within your organization.
Ask about the problem you want to solve
Most of our processes are bespoke and tailored to specific client needs. Ask about your company’s situation and we will tell you if we can help.
Let's Start a Conversation
Ready to optimize your financial data processes and drive your business forward? We’re here to help. Whether you have questions about our services, need a custom solution, or want to explore how we can support your goals, we’d love to hear from you. Get in touch with us today, and let’s unlock your data’s full potential together.
Contact us
Got data puzzles? We love a good challenge. Drop us a line, and let’s turn your data woes into wows—no magic wand required!