Jobs at NK Securities Research

The Back Office Associate will assist with business operations, supervise hardware upgrades, perform daily stock reconciliation, and monitor trading strategies, reporting to senior management.

Build and maintain scalable data ingestion pipelines, implement automated data quality checks, clean and validate datasets, analyze anomalies and trends, manage databases and backups, and coordinate with internal teams and external providers to resolve data issues. The role supports trading and research teams in a high-frequency trading environment and requires strong ownership of data reliability and availability.

Owns end-to-end corporate travel operations, including candidate, employee, campus, onboarding, relocation, and company-trip logistics. Responsibilities include booking and itinerary management, vendor and TMC coordination, visa documentation, budget validation, invoice reconciliation, reporting, approval workflows, traveler data management, and duty-of-care escalation. The role partners with HR, Finance, Recruiting, employees, candidates, and travel providers to deliver efficient, compliant travel services.

Design, maintain, and optimize high-frequency trading systems for reliability, scalability, and minimal latency. Develop network and systems programming solutions, trading algorithms, risk-management and monitoring tools, and automated testing processes. Integrate exchange-specific use cases into reusable codebases while contributing to engineering innovation and quality standards.

Assist the Business Development team by managing client interactions, documenting insights, and ensuring smooth communication within and outside the organization.

As an FPGA Developer, you will design and test RTL designs to enhance high-frequency trading strategies, focusing on reducing latency and improving performance.

The Trade Operations Engineer will perform system checks, monitor trading systems, write scripts in Bash and Python, and coordinate with tech and trading teams.

Lead design, implementation, and management of low-latency, highly available network infrastructure across colocation and data centers. Oversee 24/7 operations, incident response, monitoring, security, and collaboration with trading and development teams to optimize performance and reliability.

Research and develop ML/AI models for financial markets: fine-tune LLMs, build benchmarks, analyze large noisy time-series market data, perform feature engineering, validate models on GPU clusters, and translate research into deployable trading signals while collaborating with researchers, traders, and engineers.

Design, implement, and maintain low-latency automated trading systems focused on reliability, scalability, and performance. Optimize network and systems-level code, develop latency-reduction algorithms, build risk/monitoring tools, drive automation and testing, improve code reusability across exchanges, and lead core engineering efforts.

As a Full Stack Engineer, you will develop and maintain software tools, automate processes, optimize tasks, and enhance system monitoring for trading applications.

As a Quantitative Researcher, you will develop trading models, analyze financial data for opportunities, mentor interns, and support traders.

The Senior Quant Researcher will develop trading models, analyze financial datasets, mentor interns, and provide analytical support to traders.

Build and productionize AI systems for low-latency, data-heavy trading research: ship and optimize LLMs and embedding/RAG pipelines, add monitoring/rollback, integrate with existing infra, and ensure performance and observability.

The Trade Monitor supervises automated trading systems, analyzes strategies in real-time, collaborates with researchers, and assesses trading risks.