Lead Quantitative Developer: From Research to Production

One Concern; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

One Concern in San Francisco seeks a senior backend lead to design and maintain systems powering quantitative research, trading, and data pipelines. You will advance production-grade infrastructure and collaborate with researchers and developers to implement AI-driven approaches.

You will drive backtesting, data handling, and scalable execution, shaping architecture, tooling, and best practices across the firm.

Qualifications

• 7+ years of experience in a backend role.
• 3+ years leading a technical team.
• 5+ years of Python experience.
• Solid understanding of data structures, algorithms, and software design.
• Experience with financial market data and time series.
• Familiarity with quantitative research workflows and backtesting.
• Experience building or maintaining production systems.
• Ability to work independently and make sound technical decisions.
• Ability to collaborate with researchers and developers.
• Familiarity with ML methods and their application to financial data.

Responsibilities

• Design and enhance our systematic research and trading infrastructure.
• Implement and maintain backtesting frameworks and research pipelines.
• Productionize quantitative strategies and support live trading systems.
• Work with large financial datasets (market data, fundamentals, alternative data).
• Optimize performance, reliability, and scalability of research code.
• Build tools for data ingestion, cleaning, normalization, and storage.
• Collaborate with PMs on model implementation and iteration.
• Assist with monitoring, debugging, and improving live strategies.
• Support AI-enabled research and productivity tools.

Skills

Python

Backend development

Data structures

Algorithms

Machine learning

Time series

Production systems

Performance optimization

Tools

SQL

Cloud (GCP/AWS)

Job description

One Concern in San Francisco seeks a senior backend lead to design and maintain systems powering quantitative research, trading, and data pipelines. You will advance production-grade infrastructure and collaborate with researchers and developers to implement AI-driven approaches.

You will drive backtesting, data handling, and scalable execution, shaping architecture, tooling, and best practices across the firm.