Skip to content
Home/Solutions/Financial Services & Insurance
Quantum Risk Management

Reduce risk, not returns — with BSG-powered quantum.

Borel SIgma brings quantum optimization to portfolio construction, actuarial modeling, and insurance risk pooling. One API, full audit trail, Indian data residency.

Quantum-powered financial solutions in every API call

From Markowitz portfolios to catastrophe risk, Borel SIgma maps your financial problem to a QUBO, runs QAOA on BSG datacenters, and returns ranked, downloadable results.

Minimum-risk portfolio construction

Discretize asset weights into binary variables, encode cardinality and sector constraints as QUBO penalties, then call /v1/solver/optimize. Borel SIgma returns the top-k lowest-variance portfolios with feasibility flags and one-click download of CSV, ZIP, and PDF risk reports.

1from bsg import Solver
2
3client = Solver(api_key="bsg_sk_...")
4problem = client.risk.portfolio_qubo(
5 cov_matrix=sigma,
6 num_assets=20,
7 max_assets=12,
8 sector_limits="tech": 0.25
9)
10result = client.optimize(problem, datacenter="auto")
11print(result.best_solution) # variance: 0.0187, feasible ✓
12result.download("risk_report.pdf")

Credit risk & capital allocation

Optimize loan portfolios to minimize concentration risk while meeting regulatory capital requirements. Borel SIgma's API handles QUBO formulation from your covariance data, runs QAOA with error mitigation, and delivers ranked solutions with full auditability — essential for model risk management (SR 11-7, IFRS 9).

1POST
2Content-Type: application/json
3Authorization: Bearer bsg_sk_...
4{
5"linear": [-0.12, 0.34, -0.05],
6"quadratic": [[0,1,-0.02],[2,5,0.18]]
7}
✓ Response (top 3 solutions)
Rank 1: var=0.011, feasible ✓ | Rank 2: var=0.013, feasible ✓

Reinsurance & catastrophe risk pooling

Select the optimal mix of reinsurance treaties to minimize total risk exposure under Solvency II or IFRS 17 constraints. Borel SIgma handles binary selection variables, loss distributions, and treaty limits as a single QUBO — giving actuaries quantum-enhanced treaty structures in hours, not weeks.

Insurance Risk QUBO – Example
1from bsg import Solver
2problem = {
3"linear": [0.05, 0.03, 0.07, 0.02], # expected loss per treaty
4"quadratic": [[0,1,0.01],[2,3,-0.02]] # correlation penalties
5}
6result = Solver(api_key).optimize(problem)
7print(result.best_solution) # selects treaties 1 & 3

Purpose‑built for financial services

Borel SIgma integrates directly into your risk infrastructure. BSG quantum datacenters, Indian data residency, SOC 2 Type II roadmap, and a developer‑first experience — from Jupyter notebook to compliance report.

Asset Management

Minimum‑variance and risk‑parity portfolios with hard constraints (cardinality, turnover, sector caps). QAOA‑driven diversification with downloadable risk reports for every job.

Insurance & Actuarial

Reinsurance treaty optimization, catastrophe risk pooling, and capital allocation under Solvency II / IFRS 17. Quantum‑enhanced scenario analysis with full audit trail.

Banking & Credit Risk

Loan portfolio diversification, credit risk classification, and regulatory stress testing. Borel SIgma maps your covariance data to QUBO and returns ranked solutions ready for model documentation.

Early access to the Financial Risk API.

Be the first to bring BSG‑powered quantum optimization into your risk workflows. Sign up to get your sandbox API key and priority onboarding for production use.

Business Contact Information

Information on how Borel SIgma uses data can be found in the Borel SIgma Privacy Statement.