
AI-Driven Investment Research Specialist
2 weeks ago
We are seeking a highly skilled and experienced Quantitative Investment Research Engineer to join our team. This role is responsible for driving the full R&D cycle of our investment systems, combining financial intuition, modeling depth, and engineering execution.
The ideal candidate will have 5+ years of experience in low-frequency quant research and/or engineering, with a strong academic background in financial engineering/mathematics/computer science, or related quantitative disciplines. Prior roles should include experience at quant investing funds or fast-paced startups.
Key responsibilities:
- Develop advanced models for low-frequency predictions of returns and risks.
- Build hyper-personalized portfolio optimizers compatible with various benchmarks, constraints, and financial goals-based objectives.
- Drive continuous improvement of alpha generation and capacity expansion.
Benefits:
- Top-of-market compensation.
- Free access to our employee-only investment fund.
What We Offer:
A dynamic work environment that fosters innovation, collaboration, and growth. Opportunities to work on cutting-edge projects, leverage AI assistance, and boost creativity and product velocity.
Preferred Qualifications:
- Experience: 5+ years in low-frequency quant research and/or engineering.
- Education: Strong academic background from premier institutions in financial engineering/mathematics/computer science, or related quantitative disciplines.
- Prior Roles: Quant investing funds or fast-paced startups.
- Mindset: AI-native productivity, end-to-end ownership, and bias toward shipping.
How to Apply:
Send your resume and any relevant work directly to us at join@stellarcapital.ai.
Join us and be part of a high-performance sports team solving users' problems.
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