Senior Quant Research Engineer, Trading & Portfolio Optimization
About the role
The Role Arta manages real client portfolios at scale, and the quality of our investment outcomes depends on a small team that builds the systems behind portfolio construction and trading. We're looking for a senior quant research engineer to help design the models that determine what our portfolios should hold and the logic that executes trades to get there efficiently.
Responsibilities
- Design, build, and improve the models that determine target portfolio allocations, balancing risk, return, and client-specific constraints.
- Build and maintain the systems that translate those target allocations into real trades, with an emphasis on tax efficiency (including tax-loss harvesting) and cost-aware execution.
- Apply sound risk and portfolio management techniques — including optimization, factor-based risk modeling, and statistical estimation — to keep our strategies robust as markets and client needs evolve.
- Backtest and validate new models and trading logic against historical data before they touch live portfolios.
- Bring an investment/portfolio-management perspective to tradeoffs the team makes, not just a numerical-optimization one.
- Partner with the investment team, product, and engineering to translate investment ideas into shipped, production-quality systems.
- Use AI coding tools as part of your day-to-day workflow to research and build faster.
Requirements
5 years of experience or strong interest that comes from having worked close to markets or portfolios — as a quant researcher, trader, or in an advisory/PM-facing capacity — giving you intuition for how these systems should behave, not just how to build them.
Strong quantitative finance background, with real fluency in portfolio theory, optimization, and risk.
Rigorous math foundation: linear algebra, optimization, probability and statistics.
Strong software engineering skills, with the ability to take a model from research to a reliable, production-quality system.
Comfortable working across the full stack of a quantitative system: data, models, and the services that run them.
Understanding of tax-aware investing concepts such as tax-loss harvesting.
Fluency with AI coding tools and a track record of using them to work faster and at higher quality.
Excellent communication skills — you'll work directly with investment leadership, not just engineering.
Thrives in a fast-paced startup environment, with strong problem-solving skills, high ownership, and comfort working independently amid ambiguity.
Qualifications
Strong quantitative finance background, with real fluency in portfolio theory, optimization, and risk.
Rigorous math foundation: linear algebra, optimization, probability and statistics.
Strong software engineering skills, with the ability to take a model from research to a reliable, production-quality system.
Comfortable working across the full stack of a quantitative system: data, models, and the services that run them.
Understanding of tax-aware investing concepts such as tax-loss harvesting.
Fluency with AI coding tools and a track record of using them to work faster and at higher quality.
Excellent communication skills — you'll work directly with investment leadership, not just engineering.
Thrives in a fast-paced startup environment, with strong problem-solving skills, high ownership, and comfort working independently amid ambiguity.
Skills
Strong quantitative finance background, with real fluency in portfolio theory, optimization, and risk.
Rigorous math foundation: linear algebra, optimization, probability and statistics.
Strong software engineering skills, with the ability to take a model from research to a reliable, production-quality system.
Comfortable working across the full stack of a quantitative system: data, models, and the services that run them.
Understanding of tax-aware investing concepts such as tax-loss harvesting.
Fluency with AI coding tools and a track record of using them to work faster and at higher quality.
Excellent communication skills — you'll work directly with investment leadership, not just engineering.
Thrives in a fast-paced startup environment, with strong problem-solving skills, high ownership, and comfort working independently amid ambiguity.
Benefits
A competitive salary and benefits package, with ample opportunities for growth and advancement.
A vibrant and dynamic work environment where innovation, collaboration, and continuous learning are highly valued.
The opportunity to work with a diverse and talented team of industry experts, passionate about shaping the future of finance.
Robust health insurance offering for you and your family.
High deductible health plan available with health savings account contribution.
20 weeks of parental leave.
17 days PTO annually.
Pay
$110,000 - $180,000 (IC I)
$160,000 - $230,000 (IC II)
$180,000 - $300,000 (IC III)
Schedule
Hybrid role