Description

A focused course, tailored for you

Building a Trading-Tech Modernisation Programme for Bulge-Bracket Banks

Build a trading-tech modernisation programme from scratch in 12 weeks. Cloud-native + FPGA-handoff + market-data + risk + execution + regulatory.

Bulge-bracket banks are modernising trading-tech stacks from monolith to cloud-native + FPGA hybrid in 2026. VPs that own this programme directly capture the next promotion cycle. Here is the 12-week build.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Bulge-bracket banks are running large multi-year trading-tech modernisation programmes that combine cloud-native rebuild (for control-plane and risk), FPGA hand-off (for ultra-low-latency execution), and platform consolidation (across asset classes). The programmes cross trading-desk operations, risk infrastructure, regulatory reporting (CCAR, FRTB, MAR, MiFID II), market-data, and execution-quality measurement.

VPs that own the trading-tech modernisation programme are the highest-leverage seats in the firm right now. The programme touches every business line, every second-line function, and every regulator engagement. Owning it correctly captures the next promotion cycle.

This course teaches the 12-week build of a trading-tech modernisation programme: programme charter, business-case construction, scope definition, architecture decisions (cloud-native + FPGA + market-data + risk), regulatory alignment (CCAR + FRTB + MAR + MiFID II), execution-quality framework, talent and operating model, and the executive-engagement model. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific trading-tech context.

What you walk away with

A documented programme charter.
A business-case with NPV and capital-efficiency model.
A cloud-native + FPGA hybrid architecture decision document.
A market-data architecture reference.
A regulatory alignment matrix (CCAR + FRTB + MAR + MiFID II).
An execution-quality measurement framework.
A talent and operating model.
A 12-week programme build plan.

The 12 modules

Module 1. Trading-tech modernisation landscape 2026

Detailed walkthrough of bulge-bracket trading-tech state-of-the-art: cloud-native control-plane platforms (Kubernetes for trading workloads), FPGA execution paths (Xilinx Versal, Intel Stratix), market-data normalisation patterns, risk-engine modernisation (cloud-native scenario analytics), and the regulatory-reporting infrastructure overhaul. Peer-firm modernisation programme status (the firm, Goldman, the firm, Citi public disclosures).

Module 2. Programme charter and business case

Build the programme charter: scope statement, objectives, success criteria, stakeholder map, governance model, executive sponsorship structure, and the 3-year plan. Business case construction: cost-to-modernise (engineering, infrastructure, opportunity cost), benefit model (capital-efficiency, regulatory-reporting velocity, execution-quality, business-line scale), NPV analysis, and the funding model. Three worked business cases.

Module 3. Cloud-native + FPGA hybrid architecture

Build the cloud-native + FPGA hybrid architecture decision: Kubernetes-for-trading patterns (latency-aware scheduling, deterministic networking, kernel bypass), FPGA-deployment patterns (kernel bypass, RDMA, deterministic-low-latency networking, FPGA-fabric vs FPGA-NIC), interaction between cloud-control and FPGA-execution paths, market-data integration, and the latency-budget framework. Three architecture reference patterns.

Module 4. Market-data architecture

Build the market-data architecture: feed-handler patterns (multi-exchange normalisation), distribution patterns (multicast vs replicated), historical-data lake architecture (often Iceberg or Delta on S3), real-time analytics integration (Flink + Spark), and the consolidation across business lines. Market-data is the largest single cost line in trading-tech; the architecture determines the cost-and-capability ceiling.

Module 5. Risk engine modernisation

Build the risk engine modernisation: cloud-native scenario analytics (FRTB IMA + SBA), VaR-and-ES infrastructure, counterparty-credit exposure, intraday-risk integration, and the integration with regulatory-reporting (CCAR, DFAST, FRTB). Migration from monolithic risk engines to cloud-native compositional models. Three worked migration patterns.

Module 6. Regulatory alignment matrix

Build the regulatory alignment matrix: CCAR (stress testing, capital plan, projected losses), FRTB (trading-book capital, market-risk capital, IMA vs SBA), MAR (market-abuse surveillance, order-book reconstruction), MiFID II (best execution, transaction reporting, transparency), and EMIR + Dodd-Frank for derivatives. How modernisation strengthens regulatory posture. Three regulatory-alignment templates.

Module 7. Execution-quality measurement framework

Build the execution-quality framework: TCA (transaction cost analysis), best-execution reporting (RTS 27 / MiFID II Article 27), implementation shortfall measurement, slippage attribution, market-impact modelling, and the venue-quality scoring. The framework that supports best-execution policy and client conversations.

Module 8. Talent and operating model

Build the talent and operating model: roles (trading-tech architects, FPGA engineers, market-data engineers, risk engineers, regulatory-reporting engineers, SREs for trading workloads), staffing model (FTE-to-contractor), capacity planning, utilisation targets, on-call cadence, and the trading-floor-engineering rotation programme. The model that scales without quality erosion.

Module 9. Vendor and partner strategy

Build the vendor and partner strategy: market-data vendors (Refinitiv, Bloomberg, ICE Data), order-management-and-execution-management vendors (Charles River, Fidessa, Eze, Bloomberg AIM), risk vendors (Murex, Calypso, FIS Front Arena), cloud-providers (AWS, Azure, GCP) for trading workloads, and the FPGA hardware vendors (AMD/Xilinx, Intel). The vendor mix that supports the modernisation.

Module 10. Migration strategy and cutover

Build the migration strategy: legacy-system inventory, dependency mapping, parallel-run model (legacy + modern), feature-flag based incremental migration, business-line cutover sequencing, and the rollback model. Migration is where modernisation programmes succeed or fail. Three worked migration sequences.

Module 11. Executive engagement and board reporting

Build the executive engagement: COO partnership, CRO partnership (for risk modernisation), CCO partnership (for regulatory), CTO partnership (for technology), CFO partnership (for funding), and the board-of-directors reporting cadence. The executive engagement that gets the programme funded and protected.

Module 12. Your 12-week programme build plan

Week-by-week plan with weekly deliverables. Weeks 1-2: programme charter + business case. Weeks 3-4: architecture decision (cloud-native + FPGA + market-data + risk). Weeks 5-6: regulatory alignment matrix + execution-quality framework. Weeks 7-8: talent and operating model + vendor strategy. Weeks 9-10: migration strategy + executive engagement plan. Weeks 11-12: board-of-directors review + programme kickoff. Deliverable: full programme launch pack.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the landscape.

Modules 2 to 7 produce charter, business case, architecture, market-data, risk, regulatory matrix, and execution-quality framework.

Modules 8 to 11 cover talent, vendors, migration, and executive engagement.

Module 12 covers the 12-week build plan.

What you get with this course

The 12-module course delivered as text plus downloadable templates.
Templates for programme charter, business case, architecture decision, market-data architecture, risk engine modernisation, regulatory alignment matrix, execution-quality framework, talent and operating model, vendor strategy, migration plan, executive engagement.
A hand-built implementation playbook generated for your specific trading-tech context.
Three worked examples of trading-tech modernisation programmes at peer banks.
Scripted talking points for the COO and CRO engagement.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: Programme charter scaffold drafted.

Week 4: Architecture decision document approved.

Week 8: Talent and operating model + vendor strategy approved.

Week 12: Board-of-directors review held; programme funded; kickoff scheduled.

Before and after

Before

You see a trading-tech modernisation programme being scoped. The programme charter does not exist. Business case is being argued in fragments. Architecture is being debated without a decision framework.

After

Programme charter exists. Business case is approved by COO and CFO. Architecture decision is documented. Regulatory alignment is mapped. Execution-quality framework is in place. Talent model is approved by CRO and CTO. Vendor strategy is approved. Migration sequence is approved. Programme is launching.

What happens if you do not address this

Trading-tech modernisation is happening at peer firms now. VPs who do not own the programme directly lose the next promotion cycle to those who do.

Who it is for

For Vice Presidents, Senior Associates about to be promoted, and Directors at bulge-bracket banks owning trading-tech modernisation programmes.

Who this is NOT for. Pure quant roles. Firms with no trading desk. Pure research roles.

How it arrives

Text-based course via LMS, plus downloadable templates and the hand-built implementation playbook.

Time investment. Roughly 24 hours of reading and 200 to 400 hours of team effort across the 12-week programme charter build.

Why $199 is the right number

External trading-tech consultants charge $500K-$3M for modernisation programme builds. Big4 trading-tech advisory runs $1M-$5M. Specialist trading-tech architects charge $1000-$2000 per hour. $199 buys the focused playbook plus the implementation document for your specific trading-tech context.

FAQ

Will this replace hiring a trading-tech consultant?

Partially. It teaches you the programme build. You may still want specialist input for FPGA latency-budget optimisation.

What if my desk is fixed-income vs equities focused?

Module 3-4 cover asset-class-specific architecture variants.

Does this cover crypto-and-digital-asset trading-tech?

Module 1 covers digital-asset overlap as adjacent landscape.

What about CCP (central counterparty) integration?

Module 4 covers CCP integration for cleared products.

What is in the implementation playbook for me specifically?

A programme charter scaffold for your specific asset-class focus; architecture decisions tailored to your existing infrastructure; a 12-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.