Finaprins

Solutions for Operations Teams

At Finaprins, we empower Operations Teams within financial institutions by providing specialized data engineering services. We understand that clean, well-organized, and easily accessible data is the bedrock of efficient and compliant operations. We can help you achieve your goals by either outsourcing specific data-centric tasks to us or by enabling your team with our advanced data transformation, management, and reporting solutions, often powered by our TradeView platform.

  • Job to be done: Ensure every executed trade is accurately captured and its economic terms (price, quantity, security ID) precisely match the broker’s confirmation before it progresses in the lifecycle, safeguarding data integrity.
  • Typical problems/issues:
    • Time-consuming, manual comparison of trade tickets to broker confirms, prone to human error.
    • Inconsistent validation processes, especially with diverse trade formats from multiple brokers.
    • Difficulty scaling manual checks during high volume, leading to rushed or overlooked validations.
    • Lack of standardized data formats making automated comparison challenging.
  • What Finaprins does: We deliver meticulous and timely validation of your trade economics against broker confirmations by transforming and standardizing disparate data sources, ensuring accuracy and integrity from the point of execution.
  • How Finaprins does it:
    • Our Trade Data Transformation and Standardization services convert incoming broker confirmation data and your internal trade capture data into a unified, comparable format.
    • We leverage our TradeView platform to implement automated matching rules and exception-based review workflows, highlighting discrepancies for efficient investigation.
    • Our Data Models Implementation expertise (e.g., FpML, CDM) can be applied to ensure consistent data representation for robust validation logic.
    • We establish clear reporting on validation status, identified exceptions, and the outcomes of our Trade Data Reconciliation for confirmed trades.
  • Compelling reason to buy: Significantly reduce trade errors and associated costs by leveraging our data engineering expertise, minimize settlement risk through standardized and validated data, free up your internal team for higher-value tasks, and gain unwavering confidence in your foundational trade data, all supported by our managed services.
  • Job to be done: Proactively identify, investigate, and swiftly resolve any mismatches in trade details or issues preventing timely settlement, thereby avoiding financial loss, operational disruption, or reputational damage.
  • Typical problems/issues:
    • Trade breaks and settlement fails are complex and time-consuming to investigate, especially when data is inconsistent or in different formats.
    • Lack of clear, standardized data makes root cause analysis difficult.
    • Delayed resolution leading to potential market claims or strained counterparty relationships.
    • Internal teams get bogged down in reactive problem-solving with difficult-to-compare data.
  • What Finaprins does: We expertly support the resolution of trade detail and settlement discrepancies by providing the clean, standardized, and reconciled data necessary for efficient investigation and accurate trade finalization.
  • How Finaprins does it:
    • Our Trade Data Reconciliation service identifies discrepancies between your records and counterparty/custodian data.
    • Through Trade Data Transformation and Standardization, we ensure that all relevant data points are in a consistent format, simplifying the investigation process for your team or ours.
    • We can implement Continuous Data Quality Monitoring on key trade attributes to proactively flag potential issues before they lead to major discrepancies.
    • Our team can assist in root cause analysis by leveraging the well-organized data we provide, enabling faster identification of issues originating from data mismatches.
  • Compelling reason to buy: Drastically reduce the time and effort spent on resolving discrepancies through our data engineering services, improve the speed of settlement, minimize associated costs, and ensure your portfolio accurately reflects market activity by having clear, consistent data for investigation.
  • Job to be done: Ensure the fund’s internal records of cash balances, security positions, and transactional activity perfectly and consistently match external records held by custodians, prime brokers, and other counterparties.
  • Typical problems/issues:
    • Highly manual and time-intensive reconciliation due to disparate data formats from various sources.
    • Large volumes of breaks requiring significant investigation, often hampered by inconsistent data.
    • Inadequate or outdated reconciliation tools struggling with complex data transformations.
    • Delayed identification of errors due to data inconsistencies, impacting NAV accuracy and decision-making.
  • What Finaprins does: We deliver accurate, timely, and fully auditable reconciliation support by transforming, standardizing, and reconciling your financial data, providing a verified and trustworthy foundation for all reporting and decision-making.
  • How Finaprins does it:
    • We leverage our Trade Data Reconciliation subservice, supported by Trade Data Transformation and Standardization to ingest, convert, and normalize data from your internal systems, custodians, and brokers into a consistent format.
    • Our TradeView platform can be configured with reconciliation rules to automate the matching process and highlight exceptions.
    • Our experienced data engineers assist in investigating and tracing breaks by ensuring data lineage and clarity.
    • We provide clear, standardized reports on reconciliation status, break analysis, and aging, built from well-organized data.
  • Compelling reason to buy: Achieve daily confidence in the accuracy of your fund’s holdings and cash through our expert data management, significantly reduce operational risk and manual effort, meet audit requirements with ease by having clean, reconciled data, and free up valuable internal resources.
  • Job to be done: Obtain accurate, reliable, and independently verifiable market prices for all securities within the portfolio from approved vendors, ensuring correct and compliant fund valuation.
  • Typical problems/issues:
    • Complexity of managing multiple market data vendor feeds, often in different formats and requiring specific integration.
    • Challenges in validating prices when data is inconsistent or lacks proper identifiers.
    • Dealing with stale prices, missing prices, or prices outside tolerances, requiring robust validation logic on clean data.
    • Ensuring consistent application of pricing hierarchies when data sourcing is fragmented.
  • What Finaprins does: We provide robust market data management solutions, including sourcing, transformation, and validation of security prices, ensuring your portfolio is valued using accurate, consistent data in full compliance with your policies.
  • How Finaprins does it:
    • Our Market Data Sourcing & Distribution service acquires data from your approved vendors.
    • We use Market Data Transformation to convert disparate vendor feeds into your preferred, standardized format.
    • Our Market Data Validation service applies rules to eliminate errors, identify stale or missing prices, and flag outliers, providing clean data ready for use.
    • The TradeView platform can be utilized to manage these feeds, apply validation rules, and implement your pricing hierarchy logic, ensuring consistent data for your valuation systems.
    • We facilitate Market Data Integration by consolidating validated prices into a unified platform or delivering them directly to your NAV or risk systems.
  • Compelling reason to buy: Ensure the accuracy and integrity of your NAV calculation through reliable, validated market data, reduce pricing errors and the operational overhead of managing multiple feeds, and gain peace of mind regarding your fund’s valuation, all managed by our expert data engineering team.
  • Job to be done: Accurately and efficiently compute the Net Asset Value (NAV) of the fund per share at required frequencies, meticulously reflecting all assets, liabilities, income, and expenses, based on pristine data inputs.
  • Typical problems/issues:
    • NAV calculation is highly dependent on accurate and timely underlying data (trades, positions, cash, prices, corporate actions), which is often fragmented or inconsistent.
    • Errors in input data directly lead to incorrect NAVs, requiring costly restatements.
    • Difficulty in seamlessly integrating all necessary data points if they are not in a standardized, validated format.
    • Time pressure to produce NAV can lead to shortcuts if data preparation is slow or manual.
  • What Finaprins does: We enable precise, timely, and auditable NAV calculations by providing the clean, validated, reconciled, and standardized trade, position, and market data that forms the critical input for your NAV system or fund administrator.
  • How Finaprins does it:
    • Through our Trade Data Transformation and Standardization and Market Data Management Solutions, we ensure that all inputs (verified trades, reconciled positions/cash, validated prices) are accurate and consistently formatted.
    • Our Data Engineering and Reporting Services can create automated data pipelines to feed your NAV calculation engine or fund administrator with AI-ready, high-quality data.
    • We ensure all data is reconciled (Trade Data Reconciliation) and validated (Market Data Validation) before it’s used for NAV calculation.
    • Our services ensure the data integrity required for all components (securities, cash, income, expenses, fees, FX rates) to be accurately reflected.
  • Compelling reason to buy: Achieve consistently accurate and reliable NAV reporting by building it on a foundation of expertly engineered data, significantly reduce the risk of valuation errors and restatements, and enhance operational resilience by ensuring your NAV calculation process receives flawless data inputs.
  • Job to be done: Independently verify the calculated Net Asset Value (NAV) through a comprehensive series of checks and analyses to ensure its reasonableness, accuracy, and integrity before it is finalized and disseminated, relying on robust, independent data sources.
  • Typical problems/issues:
    • Lack of truly independent data sources for validation, or data that hasn’t been independently verified.
    • Insufficient time or resources to perform thorough validation if data preparation for these checks is manual.
    • Difficulty in effectively identifying and investigating P&L swings if the underlying data for comparison is not clean or standardized.
    • Validating against prior NAVs or benchmarks is less meaningful if current period input data quality is suspect.
  • What Finaprins does: We empower your NAV validation and oversight by providing independently sourced, transformed, and validated market and reference data, offering a reliable basis for your checks and enhancing the integrity of your fund’s valuation.
  • How Finaprins does it:
    • We supply independently sourced and validated market data (Market Data Management Solutions) that can be used as a benchmark for checking prices used in the primary NAV calculation.
    • Our Data Engineering Services can help create data sets for P&L reasonability analysis, ensuring all underlying trade and position data is clean and standardized.
    • We can provide transformed and validated data for your team to perform tolerance checks, attribute P&L changes, and scrutinize movements by feeding your analytical tools.
    • Our Continuous Data Quality Monitoring can provide an extra layer of assurance on the inputs used for both NAV calculation and its validation.
  • Compelling reason to buy: Significantly increase confidence in your NAV accuracy by using Finaprins-managed data for your validation processes, detect and rectify potential errors more effectively, strengthen internal controls, and demonstrate best practice in fund governance with robust data underpinnings.
  • Job to be done: Accurately compile, validate, and transform all required data from various internal systems for submission to relevant regulatory authorities within stipulated deadlines, maintaining full compliance.
  • Typical problems/issues:
    • Navigating complex and evolving regulatory reporting requirements which demand specific data formats (e.g., XML, ISO 20022).
    • Data required for reporting is often scattered across disparate systems, in inconsistent formats, and needs significant transformation and enrichment.
    • High risk of errors, omissions, or late submissions due to data quality issues or complex data mapping.
    • Significant time and resource drain on internal teams to “wrangle” data into the correct reporting formats.
  • What Finaprins does: We expertly manage the data preparation and transformation aspects of your regulatory reporting, ensuring timely, accurate, and compliant data outputs formatted for submission, often leveraging Digital Regulatory Reporting (DRR) frameworks.
  • How Finaprins does it:
    • Our Regulatory Reporting Services specialize in data aggregation, transformation, and enrichment, specifically for regulatory needs.
    • We utilize our Data Engineering capabilities and TradeView platform to build automated data pipelines that extract data from your source systems, apply necessary transformations (e.g., to FpML, CDM, or specific regulatory schemas), and validate it against rule-sets.
    • Our Trade Data Conversion and Standardization services are key to creating the consistent, high-quality data sets required by regulators.
    • We can implement solutions based on Digital Regulatory Reporting (DRR) frameworks, making data machine-readable and straight-through processable for reporting.
  • Compelling reason to buy: Achieve peace of mind with timely and accurately prepared data for regulatory compliance, significantly reduce the risk of fines by ensuring data quality and correct formatting, alleviate the burden of complex data wrangling on internal resources, and confidently navigate the evolving regulatory landscape with our expert data engineering.
  • Job to be done: Ensure all incoming data feeds from critical sources are consistently complete, accurate, correctly formatted, and delivered on time, preventing downstream processing errors and operational delays.
  • Typical problems/issues:
    • Frequent issues with delayed, missing, or incomplete files from various data providers.
    • Receipt of corrupted, incorrectly formatted, or inconsistent data, causing processing failures and requiring manual intervention.
    • Lack of proactive, systematic monitoring, leading to data issues being discovered late in the operational cycle.
    • Valuable time spent by operations staff manually checking feed arrivals and file contents.
  • What Finaprins does: We proactively monitor and manage your critical data feeds through our data engineering expertise, ensuring data integrity, timeliness, and availability, forming a reliable foundation for all your downstream operational processes.
  • How Finaprins does it:
    • Our Market Data Sourcing & Distribution and Trade Data Transformation services include robust mechanisms for ingesting and initially validating incoming feeds.
    • We implement Continuous Data Quality Monitoring using our TradeView platform to systematically check for file timeliness, completeness (record counts, control totals), and data integrity (format checks, key field validation).
    • Automated alerts flag any deviations, allowing for prompt investigation and liaison with data providers.
    • Our Market Data Integration and Internal Data Integration services ensure that once monitored and validated, data flows seamlessly and consistently to where it’s needed.
  • Compelling reason to buy: Prevent costly downstream operational errors by ensuring high-quality data from the outset, significantly improve data consistency across your systems, reduce manual oversight and firefighting through automated monitoring, and ensure smoother, more efficient daily processing, all managed by Finaprins.
  • Job to be done: Accurately calculate daily margin requirements (Initial Margin and Variation Margin) for OTC derivative positions, which necessitates precise, timely, and correctly formatted trade and market data inputs.
  • Typical problems/issues:
    • Complexity of margin calculation methodologies (e.g., ISDA SIMM) which are highly sensitive to input data quality.
    • Managing diverse and intricate Credit Support Annexes (CSAs) requires accurate mapping of trade data.
    • High data intensity: margin engines require accurate and timely trade data (often in specific formats like FpML), market data (curves, volatilities), and collateral information. Errors in this input data lead to incorrect margin calls.
    • Frequent disputes with counterparties often stem from discrepancies in the underlying trade or market data used for calculation.
  • What Finaprins does: We enable accurate and compliant OTC derivative margin calculations by providing the pristine, standardized, and timely trade and market data feeds essential for your margin calculation engines.
  • How Finaprins does it:
    • Our Trade Data Transformation and Standardization services, including expertise in FpML and CDM Data Models Implementation, ensure your OTC trade data is correctly formatted and enriched for input into margin calculation systems.
    • We provide validated and timely Market Data (risk sensitivities, curves, volatilities via our Market Data Management Solutions) required by these engines.
    • Our Data Engineering and Reporting Services can build and manage the automated data pipelines that feed your margin calculation platforms (e.g., Acadia, TriOptima, or in-house systems) with AI-ready, high-quality data.
    • By ensuring data consistency and accuracy through Trade Data Reconciliation and Market Data Validation, we help reduce data-related margin call disputes.
  • Compelling reason to buy: Accurately manage and mitigate counterparty credit risk by ensuring your margin calculations are based on high-quality, Finaprins-engineered data, support full compliance with regulatory margin rules (like UMR) through reliable data inputs, reduce the frequency of data-driven margin disputes, and improve the efficiency of your collateral management processes.

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?

Data Engineering

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!