Distributed Computing Engineer

Required Skill Sets

Strong grasp of distributed and parallel computing: scheduling, load balancing, fault tolerance
Hands-on with Microsoft HPC Pack (cluster setup, job scheduling, node management)
Experience with similar grid schedulers such as IBM Spectrum Symphony
Performance tuning and troubleshooting of large batch workloads
Windows Server and PowerShell scripting
Understanding of risk batch processing in asset management (overnight runs, scenarios, SLAs)

Preferred Skill Sets

Proficient in C# / .NET and Python
Data validation for risk inputs and outputs (reconciliations, tolerance checks, variance analysis)
Exposure to risk measures such as VaR/ES, sensitivities, and stress testing
Azure HPC (Azure Batch, CycleCloud) and containers
FRM or CFA, or a quantitative background