About the role

Role Overview

Senior Software Engineer for a Prop Trading Firm’s Analytics Front Office team. You will design and run low-latency risk analytics services supporting real-time PnL and risk monitoring across trading desks.

Responsibilities

Design, implement, and operate low-latency risk analytics systems
Decompose complex requirements into reliable, efficient, and maintainable service designs
Provide on-call support as part of a team rotation (split across US and UK time zones)
Work with C# services using Rx for LINQ-style composition and asynchronous dispatch
Build smaller supporting services in Python and integrate with analytics libraries in C++

Requirements

Extensive experience designing and operating low-latency distributed systems at scale for critical business functions
Strong testing practices, including testing and test automation
Fluency in functional and object-oriented programming languages
Proficiency with Git, CI/CD platforms, Docker, and Kubernetes
Experience with more than one of: C#, Java, Python, and C++
Experience with databases such as MSSQL, PostgreSQL, and Redis
Experience with event-based platforms such as Kafka or RabbitMQ (or similar)
Strong data structures and algorithm design/analysis

Nice to Haves

Fixed income products and interest rate derivatives (risk, PnL attribution, scenario analysis)
IR derivatives models (yield curves, option pricing, SABR, etc.)
Statistics, discrete mathematics, linear algebra

About Intec Select

The company is partnered with a leading US-based proprietary trading firm. Its Front Office Analytics team builds low-latency risk and PnL monitoring services for multiple trading desks, handling diverse portfolio and model complexity across real-time analytics and risk operations.