Lead Risk Engineer — Investment Tech & Trading

Growth Equity Interview Guide; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Apollo Global Management in New York seeks a Risk Engineer Lead to design and develop risk management applications, collaborating with risk managers and traders to meet business needs. The role emphasizes hands-on development in Python and Java within an Agile environment.

You will participate in design reviews, troubleshoot issues, and build new tools while integrating existing systems to improve overall risk processes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 12+ years of technology experience, including at least 3 years in a trading environment.
• Experience building and deploying risk management software in production.
• Hands-on development experience with Python and Java.
• Familiarity with messaging technologies like Kafka.
• Experience delivering full-stack applications in Agile environments.
• Collaborative approach to working with teams.

Responsibilities

• Design and develop risk management applications.
• Write reliable, well-tested code in an Agile setting.
• Work closely with risk managers and traders to meet business needs.
• Participate in design discussions and code reviews.
• Troubleshoot issues and improve system reliability.
• Build new tools and integrate existing systems.

Skills

Python

Java

Kafka

Agile methodologies

Risk management software development

Full-stack development

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Kafka

Job description

Apollo Global Management in New York seeks a Risk Engineer Lead to design and develop risk management applications, collaborating with risk managers and traders to meet business needs. The role emphasizes hands-on development in Python and Java within an Agile environment.

You will participate in design reviews, troubleshoot issues, and build new tools while integrating existing systems to improve overall risk processes.