AppZime Technologies Private Limited

Job Description: Senior Software Engineer – C# (RMS – Risk Management Systems)

**Location:** [Insert Location]

**Job Type:** [Full-time / Contract]

**Experience:** 4–8 years

**Domain:** Capital Markets / Risk Management / Trading Applications

Job Description:

We are looking for an experienced Senior Software Engineer with deep expertise in C# and distributed systems, to design and maintain mission-critical Risk Management Systems (RMS) used in trading environments. The role requires strong understanding of real-time order flow, risk checks, queue management, and multi-threaded processing.

Key Responsibilities:

RMS Development:

·       Design, develop, and optimize real-time RMS components using C# and .NET Framework (4.0/4.7.2).

·       Implement rule-based and exposure-based pre-trade and post-trade risk checks.

·       Develop in-memory data structures to handle millions of order and trade records efficiently.

·       Build high-throughput queues and modules to handle burst loads during market open and spikes.

·       Debug multi-threaded modules and ensure accurate and timely risk validation.

·       Build alerting, threshold evaluation, and notification modules for risk violations.

·       Collaborate with product and trading teams to translate risk rules into executable modules.

Tools & Technologies:

·       Version control: Git or TFS.

·       Database: SQL Server or in-memory cache (Redis) for real-time exposure tracking.

·       Experience with messaging systems or queues (e.g., MSMQ, ZeroMQ, Kafka) preferred.

·       Proficiency with AI-powered tools such as GitHub Copilot and ChatGPT.

·       Prompt engineering skills to utilize AI for test case generation, debugging, and optimization.

Domain Knowledge (Must-Have):

·       Strong understanding of capital markets, especially equity and derivative segments.

·       Working knowledge of Order Management Systems (OMS), RMS policies, and market behavior.

·       Experience with exchange protocols (e.g., FIX, TCP) and market data processing.

·       Ability to handle peak load conditions and large-scale order bursts.

Preferred Qualifications:

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

·       Prior experience working on RMS or surveillance systems in broking or exchange domain.

·       Familiarity with trading APIs and pre-trade/post-trade workflows.