Derivatives structuring, balance sheet simulation, relationship analytics, credit decisioning, regulatory compliance, and treasury optimization. Deployed at regulated financial institutions.
Corporates faced complex, multi-dimensional risk exposures across currencies, commodities, interest rates, and equity that standard financial products could not address.
Bespoke structured solutions pairing simulation engines with hedging strategies and capital-efficient vehicles, custom to each client's risk profile.
$10M+ in direct value unlocked for clients.
Corporate treasurers and CFOs needed to understand the impact of market movements on balance sheets, pension obligations, and hedging positions.
Balance-sheet simulation and scenario analysis engines that translate complex quantitative models into board-level decision tools for capital allocation and M&A valuation.
Corporate treasury functions needed to optimize cash management, liquidity positioning, and investment of surplus funds across global operations.
Quantitative models for cash flow forecasting, liquidity buffer sizing, investment portfolio construction, and FX exposure management across subsidiaries.
A premium bank evaluated each product independently. Some deposit accounts appeared unprofitable, but the holders brought wealth management, loans, and referrals.
Relationship-level analytics evaluating the entire client relationship across all products, accounts, and referral chains using graph representations.
A premium bank's mortgage and student loan approval process required manual review by multiple reviewers. High-quality applicants faced the same slow process as complex cases.
ML models that fast-track high-quality applicants with fewer human reviewers while routing complex cases to senior staff. Governance, documentation, and audit trails built from day one.
Regulated banks must submit stress test results demonstrating capital adequacy under adverse scenarios, under direct regulatory scrutiny.
Quantitative models for scenario analysis across severity levels, loss estimation across loan portfolios, revenue projection under stress, and capital adequacy analysis.