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Research engineer, ai
2 weeks ago
Company Description At Stellar (), we're building AI-powered wealth management for modern Indians. Powered by advanced AI and institutional-grade quantitative research, Stellar Capital Management helps modern Indians achieve their financial goals. The company focuses on true risk diversification that complements a holistic financial picture. Clients experience hyper-personalized investment management with unmatched transparency and convenience. Compensation Highlights Top-of-market cash compensation (₹50 L - ₹1 Cr PA)We are recruiting for versatile Founding Quant Research Engineers to drive the full R&D cycle of Stellar’s investment systems. This is a hybrid role that combines financial intuition, modeling depth, and engineering execution: Research & Modeling Develop advanced models for low-frequency predictions of returns and risks (primarily Indian equities, but including other asset classes)Build hyper-personalized portfolio optimizers compatible with various benchmarks, constraints, and financial goals-based objectives Collaborate with the founder, product, and growth teams to align research output with company goals Build scalable quantitative investment and wealth-management systems, including robust data pipelines and proprietary alternative data integrations Develop and maintain comprehensive platforms for alpha research, backtesting, and live experimentation Own Dev Ops and infrastructure practices, ensuring auditability, reliability, and security of data flows and execution systems Continuously leverage AI assistance to boost creativity and product velocity Experience: 5+ years in low-frequency quant research and/or engineering Strong academic background from premier institutions in financial engineering/mathematics/computer science, or related quantitative disciplines AI-native productivity, end-to-end ownership, and bias toward shipping we are a high-performance sports team- and our sport is solving users' problems #Talent Density We prefer to hire one AI-augmented superhuman over five average players- that's why we offer top-of-market compensation and free access to the employee-only fund #What we build ends up building us- this is more than "just work"#ai .