Senior Production Support Manager — Market Risk Technology.In this role you will lead the operational assurance of our mission-critical platform supporting VaR, FRTB, stress testing, sensitivities, limits, and regulatory reporting. This system operates on a rigorous daily end-of-day (EOD) cycle relied upon by Risk, Finance, and Front Office teams. The platform is engineered for SLO-driven, observability-led operations, with a focus on minimizing manual toil and maximizing reliability.
Currently, the platform is undergoing a migration from SSIS to Databricks workflows. The support function is responsible for maintaining stability and performance on both legacy and new systems throughout the migration, including parallel-run reconciliation and eventual decommissioning of old components.
Key Responsibilities
- Drive stability and incident command for EOD batch processes using Tidal, Airflow, Kubernetes, and Python orchestration, as well as intraday operations, data feeds, calculation engines, APIs, and reporting.
- Manage the technology plant including clusters, hosts, databases, storage, networks, service accounts, and cloud infrastructure, ensuring optimal capacity, patching, credential management, and secure access posture.
- Maintain rigorous hygiene of both infrastructure and applications, actively burning down backlogs and enforcing operational discipline.
- Lead L2/L3 support operations across regions, interfacing effectively with engineering teams.
- Oversee deployment, change management, audit, and service communication processes to meet regulatory requirements without unnecessary bureaucracy.
- Champion observability as a product, developing business-relevant SLOs, meaningful signals, and reducing alert noise.
- Define and enforce the boundary between development and support, ensuring recurring issues are resolved permanently rather than documented in runbooks.
Required Experience
- 10+ years of production support experience in financial services, with at least 5 years leading L2/L3 support across multi-region teams.
- Hands-on expertise with Market Risk platforms (VaR, sensitivities, FRTB, stress testing, P&L, market data management, EOD batch) at scale where daily cycles are critical.
- Proficient in Python, capable of confidently reading, debugging, and extending orchestration and support tooling.
- Working knowledge of enterprise schedulers (Tidal, Airflow) and container orchestration (Kubernetes) within batch-driven environments.
- Experience supporting data pipelines on both SSIS and Databricks workflows, and comfortable managing a mixed technology estate during migration.
- Demonstrated ownership of the technology plant and a proactive approach to operational hygiene.
- Proven track record in incident command and advancing support operations toward SLO-driven, observability-led practices.
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