Business Operations Analyst

Since our founding in 1996, Numerix has been at the vanguard of financial technology, providing quantitative analytics and software that redefine pricing and risk management across the financial markets. Through recent strategic acquisitions, Numerix has further strengthened its leadership position, empowering financial institutions worldwide to transform risk into opportunity with confidence. As AI reshapes capital markets technology, Numerix is focused on combining the speed and flexibility of AI with the deterministic, auditable, and governed calculations that financial institutions require. We are seeking a detail-oriented and proactive Business Operations Analyst to support Numerix SaaS clients by managing daily operations, monitoring risk analytics calculations, and ensuring the integrity of Numerix financial systems and data feeds. This role involves incident management, technical support, and coordination of application releases, contributing directly to operational excellence and client satisfaction. What You'll Do: Define, design, and implement standard operating procedures for business operations. Monitor and verify accurate delivery of daily reports for market Risk and counterparty credit risk (MTM, Greeks, PFE, CVA, FVA, VaR). Track success/failure of batch processes and market data feeds; perform intra-day health checks of OneView applications and related systems. Provide operational support for Client’s Requirements. Triage and resolve technical issues related to Numerix applications and data feeds; escalate as needed. Act as Incident Manager in line with incident management policies. Coordinate pre ‑ production releases; including dress rehearsals and parallel runs and lead client coordination for production releases and patch deployments. Generate internal and external service reports, including Root Cause Analysis, incidents and case statistics. Assisting our clients (financial institutions) with our API platform for financial risk management and analytics (e.g., VaR, PFE calculations). What We're Looking For: Bachelor’s degree from a leading finance or equivalent professional experience. 1 - 2 years relevant experience. Experience on Python scripting; and Linux is a plus. Comprehensive understanding of market risk and counterparty credit risk fundamentals. <span