Cloud & Automation Risk Tech Production Engineer

Balyasny Asset Management L.P.; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Balyasny Asset Management L.P. is seeking a risk applications support engineer to help integrate risk applications with front, middle, and back-office systems and to support a cloud-based risk platform that relies on Jupyter Notebook.

You will collaborate with global technology and risk teams, implement monitoring, and assist with deployment, debugging, and automation using Python, SQL, and data tools.

Qualifications

• Experience in investment banking or financial software environments is required.

Responsibilities

• Proactively engage with Risk Managers to resolve issues and identify improvement opportunities.
• Work as part of the global support team, participating in follow-the-sun support model with appropriate geographic handovers
• Roll out, set up, and educate end-users on new product implementations
• Provide 1st and 2nd line support for risk applications reported directly by users or through alerting systems.
• Work with external vendors\' support teams to resolve technical and functional issues
• Assist Development teams, supporting new projects from requirements gathering through deployment to production
• Implementation and maintenance of application specific monitoring using ITRS Geneos, LGTM stacks, and other APM tools.
• Set up and monitor automated jobs in a central scheduler; ActiveBatch and Airflow
• Develop automation solutions that eliminate repetitive manual work and reduce operational toil.
• Disciplined use of ticket, issue, and change management systems using Jira/Jira Service Desk

Skills

Python development

SQL

Communication

Troubleshooting

Scripting Bash/PowerShell

Linux/Windows administration

Data analysis

Tools

ActiveBatch

Airflow

Jira/Jira Service Desk

AWS/Cloud

Docker

Kubernetes

Geneos

Grafana LGTM

Snowflake

MSSQL

Job description

Balyasny Asset Management L.P. is seeking a risk applications support engineer to help integrate risk applications with front, middle, and back-office systems and to support a cloud-based risk platform that relies on Jupyter Notebook.

You will collaborate with global technology and risk teams, implement monitoring, and assist with deployment, debugging, and automation using Python, SQL, and data tools.