Selected achievements across risk analytics, reporting, P&L explain, ALM, senior decision support and embedded quantitative delivery.
Mandate
Improve counterparty exposure analytics and regulatory reporting while reducing a lengthy production cycle.
Delivery
Designed ES, EPE and PFE exposure engines, developed reusable CCP credit-risk components and strengthened the associated production and validation controls.
Outcome
Reduced the reporting cycle from two days to 30 minutes, creating faster and more reusable counterparty-risk infrastructure.
Mandate
Make daily market and credit-risk monitoring faster, more consistent and easier to control.
Delivery
Automated VaR, IRC, CRM and stress-monitoring workflows, including reconciliation, exception handling and production reporting.
Outcome
Brought daily reporting forward by around three hours, improving the timeliness of risk oversight and exception management.
Mandate
Improve daily market and liquidity-risk reporting while supporting time-critical investigation of risk-limit breaches.
Delivery
Automated production reporting, investigated VaR and stress-limit breaches and supported UAT of a proprietary liquidity-reporting platform.
Outcome
Reduced daily production time by around two hours and improved responsiveness to limit and stress exceptions.
Mandate
Improve transparency of P&L and risk across complex structured-exotics portfolios.
Delivery
Built P&L explain frameworks and replicated VaR contributions at risk-factor level. Formalised monitoring of risks outside standard VaR, including vanna/volga and cross-asset correlation, and introduced dedicated inflation-risk analytics.
Outcome
Improved understanding of daily P&L and risk drivers, strengthened monitoring of risks not captured by standard VaR and supported trader sign-off.
Mandate
Provide senior management with clear analysis of interest-rate and balance-sheet risk.
Delivery
Produced IRRBB, EaR/EVE and sensitivity analytics across banking and trading books and developed automated new-business projection frameworks.
Outcome
Provided ExCo-level analysis of earnings, economic-value and balance-sheet sensitivity to support ALM decisions.
Mandate
Provide specialist quantitative support on complex live trading and risk issues.
Delivery
Worked directly with front-office teams on structured trades involving Monte Carlo convergence, calibration instability and model behaviour, while supporting risk analysis, trader sign-off and global UAT.
Outcome
Connected quantitative diagnostics directly to live trading decisions, model improvements and controlled production rollout.
Mandate
Turn quantitative risk methodology into a practical decision framework that could be implemented and adopted across multiple locations.
Delivery
Led implementation and validation with a 13-person team, coordinated six months of testing, supported a three-month pilot across five cities and trained 50 managers across seven countries.
Outcome
Moved the methodology from quantitative design into controlled operational use and broad organisational adoption.
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