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Product Control Operating Model & Controls Dashboard

AI‑ready operating model for daily P&L, IPV, valuation reserves (XVA), and GL reconciliation — with a live dashboard for sign‑offs, exceptions, and close timeliness.

Product ControlIPVValuation & ReservesXVAP&L ExplainFinance Ops
Role & Scope

Role: Head of Managed Services & PMO, Product Control Partner

Team: Product Control, Market Risk, Finance Reporting, Model Validation

Goal: Deliver accurate, explainable daily results and an audit‑ready control stack.

Tech Stack
Next.jsRechartsTailwind CSSPower BI (design)shadcn/uiTypeScript
Outcomes

<5% unexplained P&L sustained

>98% IPV completion and auditable evidence

35–45% faster close and MI timeliness

Context

Rates, credit, and FX trading desks required fast, accurate daily results with clear attribution and robust evidence for audit. Legacy processes slowed IPV, obscured reserves, and allowed reconciliation breaks to age.

Approach

Control Foundations
  • Standardised P&L explain categories; automated variance alerts and controller sign‑off thresholds.
  • Independent Price Verification (IPV) with tolerance bands, data hierarchy, and exception workflow.
Valuation & Reserves
  • Policy‑driven valuation adjustments (CVA/DVA/FVA), model & liquidity reserves with evidence packs.
  • GL reconciliation: FO → PC → GL mapping with aged‑break dashboards.
Ops & Activation
  • Self‑serve MI (Next.js + Recharts) with near‑real‑time KPIs for sign‑offs and exceptions.
  • Optional API powering dynamic demo data; Slack/Email hooks for escalations.
  • Product requirement defined: "As a controller, surface unexplained P&L > 5% and route for review within T+1."

Live Controls Dashboard

Embedded dashboard showing KPI cards, P&L attribution, monthly explain, and control breaches. Data loads dynamically from /api/product-control with a safe fallback.

Product Control Dashboard

Month-End: Oct 2025 • Desk: Rates & Credit Trading

P&L Explained

96.4%

Target: 95%

IPV Completion

99.1%

Target: 98%

Recon Breaks >5d

1.7%

Target: 2%

Close Timeliness

100%

Target: 100%

P&L Attribution by Risk Factor

Share of total explained P&L (%)

Month-on-Month P&L Explain

Percentage of P&L explained by month

Control Breaches & Aging

Monitored exceptions with SLA-based escalation

Control BreachOwnerAgingStatus
IPV Tolerance >3bpsNash2 daysUnder review
Recon Break - Repo DeskSmith7 daysEscalated
Reserve ShortfallChan1 dayResolved
AI-driven anomaly detection enabled • Last refresh: 12/11/2025, 23:42:56

Outcome & Impact

Next Steps / Learning

Expand anomaly detection on price and P&L outliers; integrate narrative summaries for CFO packs; align with FRTB disclosure and enhance reserve back‑testing.