Senior Quantitative Developer - Systematic Research | Global Hedge Fund Platform

Techfellow Limited; New York (NY); On-site; USD 248,000 - 303,000; Full time

Job summary

Techfellow Limited in New York invites a senior software engineer to join its quantitative research platform. You will own production systems, translating research problems into robust, scalable software using Python and C++ in a high-performance trading environment.

The role emphasizes architecture, reliability and observability, working closely with portfolio managers and quantitative researchers to push data-intensive capabilities and low-latency infrastructure at institutional scale.

Qualifications

• 6+ years of professional software development experience in production environments.
• Strong fundamentals across architecture, debugging, testing, maintainability and performance.
• Proficient in Python and C++, with ability to work across both languages.
• Experience with data-intensive, large-scale research or trading systems.

Responsibilities

• Translate exploratory or ambiguous research requirements into durable engineering solutions for production.
• Own design, implementation, deployment and ongoing operation of production software.
• Improve system reliability, observability, reproducibility and engineering quality across workflows.
• Collaborate with Portfolio Managers and Quantitative Researchers to deliver robust platforms.

Skills

Software development

Python

C++

System design

Data-intensive systems

Production experience

Observability

Job description

[Up to c. $275k Base Salary + Discretionary Bonus | Office-Led Working]

Role Overview

We’re representing a global investment firm expanding the technology capability behind its systematic research platform. This team works directly with quantitative investment groups, creating the engineering infrastructure and applications researchers use to explore data, test investment ideas and develop systematic strategies.

The hire is fundamentally a senior software-engineering position within a quantitative environment. You’ll work closely with Portfolio Managers and Quantitative Researchers, taking loosely defined research problems and turning them into robust systems that can operate reliably at institutional scale. Python and C++ are both relevant, but the team is deliberately flexible on language background. The stronger differentiator is the calibre of engineering problems you have owned - particularly research platforms, quantitative systems, large-scale data processing or production trading technology...

Role Snapshot

• Bring 6+ years of professional software-development experience, with substantial ownership of production systems in technically demanding environments
• Demonstrate strong software-engineering fundamentals across architecture, debugging, testing, maintainability, performance and production operation
• Develop primarily across Python and C++, with depth in at least one and the ability to become productive across both where required
• Build and evolve technology supporting quantitative research, data-intensive analysis, model evaluation and the wider research-to-production lifecycle
• Work directly with Portfolio Managers and Quantitative Researchers to translate exploratory or ambiguous requirements into durable engineering solutions
• Own technical problems through design, implementation, deployment and ongoing operation rather than working only on isolated components
• Improve system reliability, observability, reproducibility and engineering quality across research and production workflows
• Show evidence of solving complex data-intensive, computationally demanding or performance-sensitive engineering problems rather than relying on framework-level experience
• (Strongly Preferred) Experience within a hedge fund, proprietary trading firm, systematic investment manager or comparable high-performance trading environment
• (Preferred) Exposure to systematic investing, financial markets, distributed systems, Linux, large-scale data platforms, numerical computing, GPUs, cloud infrastructure or low-latency systems