NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes.

Key Responsibilities:

You will build and own backend systems that directly support trading and internal operations. The role involves developing reliable services, automating infrastructure and exchange workflows, and ensuring systems run efficiently and without failure in production environments used by quant and trading teams.
- Develop connectors for new exchanges for automation processes written in python.
- Build and maintain backend systems and internal tools in Python to support trading, analytics, and operations with high reliability .
- Design and develop APIs and services for trade monitoring, data processing, and system integrations.
- Automate infrastructure provisioning, deployments, and exchange-related workflows (connectivity, order lifecycle, execution processes).




- Identify inefficiencies in existing workflows and optimize them using Python and shell scripting to improve performance and reduce manual effort.
- Develop monitoring, logging, and alerting systems; implement automated responses for critical failures to improve system uptime.
- Work closely with quant, trading, and infrastructure teams to translate requirements into reliable backend solutions.
- Maintain explicit documentation and reusable code/modules to support scalability and long-term maintainability.

Preferred Qualifications
- Bachelor’s degree in Computer Science or a related field
- Strong Python fundamentals (DSA, concurrency, performance tuning) and experience building production-grade backend services using frameworks like Django, Flask, or FastAPI.
- Solid understanding of APIs, distributed systems, and scalable system design, with hands-on experience working in Linux/Unix environments and using Python or s

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🏢 NK Securities Research
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