Quantitative Developer

About the role

The Quantitative Developer will build data pipelines and implement statistical models to support the management of a $285 billion general investment account. They will collaborate with portfolio managers and strategists to develop tools that enhance portfolio analytics and decision-making.

Responsibilities

• Build and maintain data pipelines using ETL pipelines, cloud, and data architecture
• Develop and implement statistical models for hedging, pricing, and asset allocation strategies
• Collaborate with portfolio managers and strategists to translate research into production-ready tools
• Work closely with the broader R&D organization of Investment Management to support the oversight of the firm's $285 billion General Investment Account
• Engage with new ideas and evolving market dynamics to drive innovation through close collaboration and proactive problem-solving

Requirements

• Bachelor’s degree in computer science, engineering, math, information technology, or related field
• 6+ months of relevant work experience, including internships

Ideal Qualifications

• Master’s degree in computer science, engineering, math, information technology, or related field
• Experience in ETL pipelines, cloud, data architecture, and CI/CD
• Keen interest to work in investments outside of the public equity market
• Quant/ML modeling experience
• Excel and Python integration experience
• Software development experience using GitHub and Docker
• MLOps experience
• Experience with Anthropic Claude

Qualifications

• Minimum qualifications: Bachelor’s degree in computer science, engineering, math, information technology, or related field; 6+ months of relevant work experience, including internships
• Ideal qualifications: Master’s degree in computer science, engineering, math, information technology, or related field; experience in ETL pipelines, cloud, data architecture, and CI/CD; keen interest to work in investments outside of the public equity market; quant/ML modeling experience; Excel and Python integration experience; software development experience using GitHub and Docker; MLOps experience; experience with Anthropic Claude

Skills

• Strong analytical mindset
• Proactive problem-solving culture
• Hands-on approach to innovation
• Collaborative environment
• Technical expertise in ETL pipelines, cloud, data architecture, CI/CD, MLOps, and software development
• Experience with Anthropic Claude

Benefits

• Clear areas of ownership and accountability
• Collaborative environment
• Access to learning, development, and internal networks
• Employee-led communities and forums
• Integrity, responsibility, and stewardship
• Flexible workplace approach
• Medical, dental, 401(k), and generous vacation time
• Volunteering days
• Well-Being Wallet
• Caregiver leave

Pay

$86,200 - $113,100

Schedule

Hybrid model with at least three days per week in the office and remote Fridays, company-wide remote weeks, and a bank of flexible remote weeks to use throughout the year.