Dotnet Developer

4 days ago

Mumbai, Maharashtra, India Weekday AI Full time ₹ 8,00,000 - ₹ 25,00,000 per year

This role is for one of the Weekday's clientsMin Experience: 4 years

Location: Mumbai

JobType: full-time

We are seeking an experienced Dotnet Developer with strong expertise in C# and distributed systems to design, develop, and maintain mission-critical Risk Management Systems (RMS) for trading environments. The role involves working with real-time order flows, multi-threaded processing, and implementing risk checks to ensure system reliability during high-volume trading periods.

Requirements

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 efficiently handle millions of orders and trade records.
  • Build high-throughput queues and modules to manage peak market activity and bursts.
  • Debug multi-threaded modules and ensure accurate, timely risk validation.
  • Develop alerting, threshold evaluation, and notification modules for risk violations.
  • Collaborate with trading and product 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/queues (e.g., MSMQ, ZeroMQ, Kafka) preferred.
  • Familiarity with AI-powered tools (GitHub Copilot, ChatGPT) for test generation, debugging, and optimization.
  • Prompt engineering skills to leverage AI in development workflows.

Domain Knowledge:

  • Strong understanding of capital markets, especially equities and derivatives.
  • 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 manage high-volume trading and peak load conditions.

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
  • Prior experience with RMS or surveillance systems in broking or exchange domains.
  • Familiarity with trading APIs and pre-trade/post-trade workflows.

Key Skills:

C# | .NET Framework | Risk Management Systems (RMS) | SQL | Multi-threading | Distributed Systems | OMS | Capital Markets

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