Risk Application Support Engineer

The Risk Application Support Engineer is a key member of the trading operations and investment teams supporting full risk lifecycle processes in trading, including but not limited to startup, live monitoring and triage, outages, data cleanliness, reporting, and trade analysis functions. This person will work closely with Risk Managers, Risk Technology, Orchestrade, Product Control, and various other business. This individual will have a strong technical acumen in well known risk technologies and calculations and have the ability to spot and sort live data discrepancies in Linux, Windows, and cloud environments. Required attributes for candidate include attention to detail, ability to multitask with changing requirements, and urgency to tackle live production issues.

Responsibilities:

• Live Risk monitoring and management with attention to follow up tasks and postmortems across the firm
• Startup and oversight over a variety of risk calculation engines, each with differing inputs and outputs important at different hours of the trading day (24/5 global coverage across team)
• Switch between deployment, automation, monitoring enhancement, and scripting/coding bigfixes in all our environments, such as in AWS, on-prem Linux & Windows hosts, external vendor facing network connections, etc.
• Ownership of production risk footprint, e.g. identify system improvements, automate daily tasks, document existing and new workflows
• Integration with Trading Operations as whole to ensure that all trades are captured and calculated

Qualifications:

• Bachelor’s Degree from an accredited college or university (CS, Math, Engineering preferred)
• Hands on experience as a Risk Engineer, having worked directly with Risk Managers and Product Control in a live production environment. Integration with vendor product calculation engines.
• Technical proficiency with Python, Linux, Windows, SQL, Excel, AWS, Airflow; ability to debug scripts and code in BASH, Python, PowerShell
• DevOps experience with Jenkins, Ansible, Git, Bitbucket, Jira, Docker is a plus
• Strong analytical and detail-oriented aptitude; a high degree of accuracy is required
• Excellent communication and organizational skills with friendly demeanor
• Ability to manage time effectively, set priorities and meet deadlines, mentorship of junior members

Nice to Have:

• Experience in coursework or professional career: calculations for Volatility, Options: Greeks + Black-Scholes-Merton equation (martingales), Value-at-Risk, pricing and Candles, ETP valuation vs underliers, and more
• Heightened awareness for production alerts and adhere to SLA for remediation
• Experience with DataDog/Zabbix/PagerDuty and application monitoring frameworks
• Experience with Redwood RunMyJob and familiarity with Cron, or similar job scheduling frameworks such as Control-M, Tidal