Quant Engineer – Electronic Trading & Risk – New York

ioTech Solutions; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

ioTech Solutions is seeking experienced Quant Engineers to join high-performing teams in New York. This role focuses on quantitative engineering and electronic trading to enhance trading platforms.

Candidates should have strong Java development experience in trading or financial markets, with an understanding of real-time systems. The position offers the opportunity to work closely with trading desks and quantitative teams to implement business requirements.

Qualifications

• Strong Java development experience in trading or financial markets.
• Experience with trading systems or quantitative/risk infrastructure.
• Understanding of real-time systems and distributed architectures.

Responsibilities

• Design, build, and enhance scalable trading platforms.
• Develop high-performance Java-based systems for analytics.
• Optimize real-time data pipelines and analytics infrastructure.

Skills

Java development

Problem-solving

Communication

Job description

We are partnering with a leading trading and financial technology firm looking to hire experienced Quant Engineers to join high-performing teams in New York.

The role will focus across quantitative engineering, electronic trading, execution systems development, working closely with traders, quants, and technology teams.

Responsibilities

• Design, build, and enhance scalable trading and quantitative platforms
• Develop high-performance Java-based systems for analytics, execution, and risk processing
• Work closely with trading desks and quantitative teams to implement business and trading requirements
• Build and optimize real-time data pipelines and analytics infrastructure
• Improve system performance, reliability, and scalability
• Support and enhance live trading and risk environments

Requirements

• Strong Java development experience within trading or financial markets environments
• Experience working on trading systems, execution platforms, or quantitative/risk infrastructure
• Understanding of market data, real-time systems, and distributed architectures
• Experience with low latency or high-performance systems is beneficial
• Strong communication and problem-solving skills

Preferred

• Exposure to execution trading, electronic trading, or market making environments
• Experience within risk engineering, pricing, or quantitative analytics platforms
• Knowledge of asset classes such as equities, derivatives, FX, or digital assets
• Familiarity with cloud infrastructure or DevOps tooling is a plus