Low-Latency Algorithmic Trading Engineer

Soni; New York (NY); Hybrid; USD 160,000 - 173,000; Full time

Job summary

Soni, a premier global financial services firm in New York, is seeking an outstanding candidate to join an agile team delivering client-facing, high-availability trading algorithms and related technology. You will design and support core algorithmic products, reporting directly to the Head of Algo Development.

Hybrid work model: 3 days in-office, 2 days remote. You will partner with Quants, Product, and Sales to implement strategies and drive continuous technical improvement across the platform.

Qualifications

• BS/BA degree or higher in Computer Science, Mathematics, or a related Engineering discipline.
• Minimum 3–5 years of experience developing low-latency trading strategies in equities, futures, or listed derivatives.
• Proven track record in designing, developing, and implementing trading strategies such as benchmark tracking and liquidity seeking.
• In-depth knowledge of lit and dark market microstructure, order types, liquidity and market data in US/global markets.
• Experience with Agile development methodologies.

Responsibilities

• Design, build, and maintain a Next-Generation Global Algorithmic Trading platform with low-latency trading strategies and core infrastructure components.
• Collaborate closely with Quants on implementing trading algorithms, quantitative models, and analytical signals.
• Work with Product and Sales teams to address client requests and deliver algorithmic customizations.
• Develop innovative, pragmatic solutions within a collaborative development environment.
• Stay informed on industry trends and drive continuous technological improvement.

Skills

Core Java

Linux

Object-Oriented Design

Low-latency programming

Agile methodologies

Quant modeling basics

Team collaboration

Education

BS/BA in Computer Science, Mathematics or related Engineering

Tools

Solace

Ultra Messaging

29West

Job description

Soni, a premier global financial services firm in New York, is seeking an outstanding candidate to join an agile team delivering client-facing, high-availability trading algorithms and related technology. You will design and support core algorithmic products, reporting directly to the Head of Algo Development.

Hybrid work model: 3 days in-office, 2 days remote. You will partner with Quants, Product, and Sales to implement strategies and drive continuous technical improvement across the platform.