Risk Technology Production Engineer

ROLE OVERVIEW 

This role is primarily aimed at supporting the risk management teams in troubleshooting and implementing their code in a cloud-based risk platform that relies on Jupyter Notebook as well as supporting the risk applications and their integration with front, middle and back-office systems. The position demands a proactive, outgoing individual who can effectively collaborate across various technology teams and risk management teams to boost the efficiency and capabilities of applications they support. The candidate will possess excellent communication skills, solid technical skills with experience in development and support of risk technology systems, database skills, and a grasp of application support. The preferred applicant will have at least 2 years of experience in developing and/or supporting Python applications. 

Responsibilities will include:  

· Proactively engage with Risk Managers to resolve issues and identify improvement opportunities. 

· Work as part of the global support team. 

· Participate 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 or Grafana LGTM stacks 

· 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 

QUALIFICATIONS & REQUIREMENTS: 

· Proactive with excellent communication skills; lively, friendly, sociable personality 

· 2-5 years of experience working with investment banks, investment advisors or associated software vendors 

· Thorough understanding of risk analytics with the ability to discuss details of these products with Portfolio Managers, Analysts, and Risk Managers. 

· Experience with at least one major asset class (e.g. rates, equities, FX, credit) and associated modeling and market data. 

· Strong troubleshooting and creative problem-solving abilities, including being able to interpret, understand, and troubleshoot internally developed systems 

· Experience in software deployment, administration, and support 

· Experience with Python development tools, processes, debugging and common packages; Pandas, Polars, NumPy, Conda, UV 

· Experience with scheduling tools e.g., ActiveBatch and Airflow 

· Strong SQL experience across various database implementations, including MSSQL and Snowflake 

OTHER BENEFICIAL EXPERIENCE: 

· Experience with the following systems/technologies beneficial: Risk Metrics, Beacon, Axioma, Barra, JIRA Service Desk, AWS/Cloud, Docker, Kubernetes 

· Knowledge of basic Linux and Windows operating system administration 

· Experience in scripting e.g. Bash, PowerShell 

· Experience with monitoring and observability platform e.g., ITRS Geneos and Grafana LGTM stack 

· Experience supporting large scale, distributed systems, micro-service and event-based designs 

· Experience with AI Agent harness 

EDUCATION, TRAINING & EXPERIENCE: 

· 2+ years of experience working with investment banks, investment advisors or associated software vendors 

· STEM degree