Senior Quant Research Engineer — Portfolio Optimization

Arta Finance; United States; Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Parental leave (20 weeks)

Paid time off (17 days PTO)

HSAs with high-deductible plan

Job summary

Arta Finance seeks a senior quant research engineer to design models for portfolio allocations and the execution logic that handles trades at scale. You will work closely with investment teams to ensure tax efficiency and robust risk management in production systems.

The role blends rigorous portfolio theory with practical software engineering, requiring hands-on experience near markets or portfolios and a track record of delivering production-quality code in a fast-paced startup environment.

Qualifications

• 5 years of experience near markets or portfolios as a quant researcher, trader, or PM-facing capacity.
• Strong quantitative finance background with expertise in portfolio theory, optimization, and risk.
• Rigorous math foundation: linear algebra, optimization, probability and statistics.
• Strong software engineering skills to take a model from research to production-ready system.
• Comfortable working across data, models, and services in a full-stack system.
• Understanding of tax-aware investing concepts such as tax-loss harvesting.
• Fluency with AI coding tools to accelerate development and quality.
• Excellent communication skills with investment leadership.
• Thrives in a fast-paced startup environment with ownership and ambiguity.

Responsibilities

• Design, build, and improve models for target portfolio allocations balancing risk and return.
• Translate target allocations into real trades with tax efficiency and cost-aware execution.
• Apply risk modeling and optimization to keep strategies robust as markets evolve.
• Backtest and validate new models and trading logic against historical data.
• Bring an investment perspective to tradeoffs beyond pure numerical optimization.
• Collaborate with investment, product, and engineering to ship production-quality systems.
• Use AI coding tools to research and build faster.

Skills

Quant research

Portfolio theory

Risk management

Production-grade software

Communication skills

Job description

Arta Finance seeks a senior quant research engineer to design models for portfolio allocations and the execution logic that handles trades at scale. You will work closely with investment teams to ensure tax efficiency and robust risk management in production systems.

The role blends rigorous portfolio theory with practical software engineering, requiring hands-on experience near markets or portfolios and a track record of delivering production-quality code in a fast-paced startup environment.