Quant Developer (Software Developer)

Neo Wealth; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Neo Wealth seeks a C++ Developer in Mumbai to design and optimize mid-frequency trading systems handling real-time data with low latency. You will build scalable, high-performance components and work on execution algorithms to reduce slippage and market impact.

Collaborate with quants and engineers to implement trading strategies, process large-scale data, and ensure system stability and reliability in production environments. The role demands strong C++ skills and a passion for finance.

Qualifications

• Strong C++ programming with a focus on low-latency and high-performance computing.
• Expertise in data structures, algorithms, multi-threading, and concurrency.
• Experience with real-time data processing and event-driven architecture.
• Understanding of market microstructure and execution strategies.
• Ability to work in high-impact situations and solve complex problems.
• Flexibility to work independently and as part of the team.
• Strong quantitative aptitude and high EQ.

Responsibilities

• Design and develop efficient, scalable trading software for mid-frequency strategies.
• Optimize execution algorithms to minimize slippage and market impact.
• Work closely with quants to implement and refine trading strategies; process and analyze large-scale real-time and historical data.
• Ensure system stability, reliability, and failover mechanisms.
• Debug and troubleshoot production trading environments.

Skills

C++ low-latency

Data structures

Multi-threading

Real-time processing

Market microstructure

Problem solving

Tools

Linux

Job description

Summary

We are looking for a C++ Developer to design and optimize mid-frequency trading systems. This role involves working with real-time data, optimizing execution algorithms, and building scalable, low- latency frameworks. Passion for financial markets are a big plus.

Responsibilities

The position holder shall be responsible for:

• Design and develop efficient, scalable trading software for mid-frequency strategies.
• Optimize execution algorithms to minimize slippage and market impact.
• Work closely with quants to implement and refine trading strategies. Process and analyze large-scale real-time and historical data efficiently.
• Ensure system stability, reliability, and failover mechanisms.
• Debug and troubleshoot production trading environments.

Knowledge, Competency and Skills requirement

• Strong C++ programming skills with a focus on low-latency and high-performance computing.
• Expertise in data structures, algorithms, multi-threading, and concurrency.
• Experience with real-time data processing and event-driven architecture.
• Understanding of market microstructure and execution strategies.
• Ability to work in high-impact situations and solve complex problems.
• Flexibility to work independently and as a part of the team.
• Strong quantitative aptitude and high EQ.

Preferred Skills

• Experience in managing real-time data processing systems.
• Knowledge of low latency design.
• Understanding security principles and best practices in software development.
• Knowledge of Linux systems.