Client Type: Insurance
Sector: Life Insurance
Location: Asia
Challenge:
Legacy trading workflows and manual risk processes limited pricing accuracy, slowed execution, and increased operational costs.
Solution:
Developed and deployed Python-based FX pricing and hedge optimisation models. Integrated electronic execution platforms to enhance counterparty competition and reduce spread leakage.
Result:
- Achieved USD 50 million in annual cost savings
- Reduced execution drag, enhanced governance oversight
- Enabled automation and real-time pricing transparency
Value Delivered:
Institutional-grade digitisation of derivative workflows, delivering performance and control.