Software Engineer

Manhattan 0.000000 - 0.000000

Company Social & Media:

A leading trading firm is looking for a talented Software Engineer to join the Risk Technology team. In this role, you’ll build the systems that enable the firm to understand, measure, and manage risk in real time. You’ll work closely with traders, quantitative researchers, risk managers, and fellow engineers to develop scalable, high-performance technology that supports critical business decisions.

This is an opportunity to solve complex technical challenges in a fast-paced trading environment where your work has a direct and measurable impact.

What You’ll Do

  • Design, develop, and maintain software that supports market, credit, liquidity, and operational risk management.
  • Build low-latency, highly available systems for real-time risk calculation and monitoring.
  • Collaborate with quantitative teams to implement risk models and analytics in production systems.
  • Develop tools and platforms that improve data quality, reporting, and operational efficiency.
  • Work with large, high-frequency datasets to deliver accurate and timely risk insights.
  • Improve system performance, scalability, resilience, and observability.
  • Partner with stakeholders across Trading, Risk, Operations, and Technology to understand requirements and deliver practical solutions.
  • Contribute to architectural decisions, code reviews, testing, and engineering best practices.

Must have

  • Software development experience in financial services industry, preferably in fixed income asset management
  • Deep expertise in developing production quality scalable applications in C#
  • Expertise in working with large scale data sets, including storage, transmission, and transformation
  • Strong understanding of SQL and database technologies
  • Self-starter who can work independently and be able to drive a project from inception through delivery
  • Degree in computer science, mathematics, engineering, or closely related field
  • Experience working with time series data sets, a significant plus