UseCase

Risk Analytics Platform Modernization

PiTech modernizes risk analytics infrastructure for investment banks, asset managers, and prime brokers — replacing overnight batch risk calculations with intraday and real-time engines, unifying fragmented risk data silos into a cross-asset risk data model, and delivering BCBS 239 risk data aggregation compliance documentation alongside the technical implementation.

Intraday

Risk data refresh replacing T+1

BCBS 239

Compliance documentation delivered

Unified

Cross-asset risk data model

Same-day

Stress test reporting capability

Client Snapshot

Industry

Capital Markets

Solution

Data Solutions | Cloud Solutions | IT Consulting

Complexity

Very High

Delivery

Architecture + Implementation

The Problem

Overnight batch risk calculations were the state of the art in 2010. In 2026, the volatility windows that generate the most consequential risk management decisions a Federal Reserve surprise, an options expiry cascade, a credit event, a geopolitical shock  compress risk decision timeframes to intraday or real-time. Firms running T+1 batch risk engines are making position management decisions without current risk data in the exact moments when current data matters most.

BCBS 239 risk data aggregation principles  which apply to G-SIBs globally and D-SIBs in most jurisdictions  require firms to demonstrate that risk data can be aggregated accurately and completely across the enterprise on demand. Most mid-tier institutions cannot satisfy this requirement without significant data infrastructure investment, because risk data lives in product silos with incompatible data models, different entity identifiers, and no common calculation standards across asset classes.

Ready to Start?

Schedule a Risk Infrastructure Assessment

Get a candid analysis of your current risk calculation latency, BCBS 239 compliance gaps, and modernization roadmap.

T+1

batch processing means risk position reports are 12–24 hours stale during intraday volatility events precisely when current risk data is required for position management decisions. The competitive and regulatory argument for intraday risk has been settled; the remaining barrier is execution of the data infrastructure transformation.

How PiTech Delivers

01

Risk Data Architecture Assessment

Current risk data sources, calculation platforms, reporting latencies, and BCBS 239 compliance gaps inventoried. Technical debt in risk infrastructure quantified. Cross-asset data model gaps identified  the specific entity identifier and data definition inconsistencies that prevent enterprise risk aggregation.

02

Unified Cross-Asset Risk Data Model Design

Single risk data model covering equities, fixed income, rates, credit, derivatives, FX, and commodities  with common entity identifiers, shared data definitions, and lineage from source trading systems to calculated risk metrics. The foundation that intraday calculation, BCBS 239 compliance, and stress testing all build on.

03

Intraday Risk Calculation Engine

Streaming data architecture (Kafka or equivalent) for real-time position and market data ingestion. Greeks, VaR, CVA, and exposure calculations updated on sub-minute refresh cycles for targeted risk categories. Phased deployment starting with the highest-impact desk and product scope.

04

BCBS 239 Compliance Documentation

Data lineage, accuracy, completeness, and aggregation capability documentation aligned to BCBS 239 Principles 4–8. Risk data quality reporting framework for senior management. Evidence package suitable for regulatory review and internal audit.

Proven Outcomes

Intraday

Risk calculation capability delivered in risk modernization engagements

BCBS 239

Compliance documentation packages accepted in regulatory review

25–40%

Program timeline compression through PiTech data engineering methodology

Proven Outcomes

18+

Years in Regulated Industries

What You Gain

Intraday

Risk data refresh replacing T+1 overnight batch cycles

BCBS 239

Risk data aggregation compliance documentation delivered

Unified

Cross-asset risk data model with common entity identifiers

Same-day

Stress scenario and VaR reporting capability operational

What's Included

Risk data architecture assessment

Risk data architecture assessment

Source systems, calculation latencies, cross-asset gaps, and BCBS 239 compliance status

Unified cross-asset risk data model

Unified cross-asset risk data model

Common entity identifiers and shared calculation standards across all asset classes

Streaming data pipeline

Streaming data pipeline

Real-time position and market data ingestion for intraday risk calculation

Intraday risk calculation engine

Intraday risk calculation engine

Greeks, VaR, CVA, and exposure calculations on sub-minute refresh cycles for targeted scope

Stress testing data infrastructure

Stress testing data infrastructure

Same-day stress scenario running capability on unified risk data foundation

BCBS 239 compliance documentation

Fair lending monitoring module

BCBS 239 compliance documentation

Lineage, accuracy, completeness, and aggregation evidence for regulatory and audit review

Risk reporting layer

Risk reporting layer

Intraday risk dashboards for desk, business line, and senior management audiences

Frequently Asked Questions

What does BCBS 239 require for capital markets risk data specifically?

BCBS 239 requires G-SIBs and D-SIBs to demonstrate risk data accuracy, completeness, and timely aggregation across the enterprise on demand. Principles 4–8 specifically address data aggregation capability, accuracy, completeness, timeliness, and adaptability. PiTech delivers documentation aligned to each principle as part of every risk data modernization engagement.

PiTech designs the modernization approach based on the client’s existing estate. Where existing risk platforms have good calculation engines but poor data infrastructure, PiTech improves the data layer without platform replacement. Where platforms are end-of-life or unable to support intraday requirements, PiTech manages the migration to modern infrastructure with parallel operation during transition.

PiTech evaluates streaming architectures (Apache Kafka, Confluent, Apache Flink) against the firm’s existing technology estate and calculation complexity. Cloud-native implementations on AWS or Azure typically provide the best combination of performance, cost, and operational simplicity for mid-tier capital markets firms. Platform recommendation follows requirements, not vendor relationships.

A focused modernization covering intraday risk for two to three asset classes typically runs 12–18 months from architecture design to production deployment. Enterprise-wide programs covering full BCBS 239 compliance and all asset classes run 24–36 months in phased execution, delivering measurable intraday capability in early phases before full program completion.

Intraday risk infrastructure and stress testing share the same underlying data foundation current, complete position and market data across all asset classes. When the risk data model is unified and refreshed on intraday cycles, stress scenarios can be run on current positions rather than yesterday’s closing book. Same-day stress testing becomes a direct output of the intraday infrastructure investment.

Intraday risk infrastructure is the competitive and regulatory baseline for 2026. PiTech builds it with the data engineering depth capital markets demands.

Contact PiTech to discuss your risk analytics modernization program  from architecture design to BCBS 239 compliance documentation.

Related Use Cases

Reach Our Customer Service Team

Contact Us