Risk Technology Production Engineer Job New York New York USA,IT/Tech

Location: New York

This role is primarily aimed at supporting the risk applications and their integration with front, middle and back-office systems. The role also includes supporting the risk management teams in troubleshooting and implementing their code in a cloud-based risk platform that relies on Jupyter Notebook.

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 supporting critical applications within finance, good database skills, and development skills. 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, 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;
Active Batch 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
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, Num Py, Conda, UV
Experience with scheduling tools e.g., Active Batch and Airflow
Strong SQL experience across various database implementations, including MSSQL and Snowflake
Experience with JIRA Service Desk, AWS/Cloud, Docker, Kubernetes
Experience with Linux and Windows operating system administration
Experience in scripting e.g. Bash, Power Shell

OTHER BENEFICIAL

EXPERIENCE:

Understanding risk analytics with the ability to discuss these products with Portfolio Managers, Analysts, and Risk Managers.
Experience with the following systems/technologies beneficial:
Risk Metrics, Beacon, Axioma, Barra
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

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