Founding CTO: Quantitative AI & ML Platform Lead (Boston)

Selby Jennings; Boston (MA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity stake

Job summary

Selby Jennings in Boston seeks a Founding CTO to own and scale the quantitative, machine learning, and data platform for an emerging investment firm. Take prototype to production, lead technology strategy, and build the engineering team. You will own ML models, data infrastructure, and investment research collaboration with founders.

Expect equity and high-impact influence on firm strategy and performance. Ideal candidate has a track record building from scratch, strong Python and cloud data

Qualifications

• Strong background in machine learning, quantitative engineering, or systematic investing.
• Expert Python skills with deep experience in data engineering, SQL, cloud data platforms, and software development.
• Proven ability to build systems from scratch and take ownership of an entire function.

Responsibilities

• Own ML models, quantitative research, data infrastructure, execution technology, and decision-support systems.
• Transform investment ideas into testable models through research, backtesting, validation, and production deployment.
• Build scalable data platforms incorporating market, financial, regulatory, and alternative datasets.
• Develop production-grade pipelines, monitoring, model governance, risk controls, and audit frameworks.
• Partner directly with founders on investment research and strategy.
• Recruit, mentor, and lead the technology organization.

Skills

Machine learning

Quantitative engineering

Systematic investing

Leadership

Education

Master's degree or PhD

Tools

Python

SQL

Cloud data platforms

Backtesting frameworks

Job description

Selby Jennings in Boston seeks a Founding CTO to own and scale the quantitative, machine learning, and data platform for an emerging investment firm. Take prototype to production, lead technology strategy, and build the engineering team. You will own ML models, data infrastructure, and investment research collaboration with founders.

Expect equity and high-impact influence on firm strategy and performance. Ideal candidate has a track record building from scratch, strong Python and cloud data