Expert Quantitative Research Engineer for Scalable Investment Systems

22 hours ago

Allahabad, Uttar Pradesh, India beBeequantitative Full time ₹ 50,00,000 - ₹ 10,00,00,000

Quantitative Research Engineer

Stellar's investment systems require a full R&D cycle driven by financial intuition, modeling depth, and engineering execution. This is a hybrid role that combines quantitative research skills with engineering expertise.

  • Develop advanced models for predicting 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
  • Drive continuous improvement of alpha generation and capacity expansion
  • Collaborate with the founder, product, and growth teams to align research output with company goals

Key Responsibilities:

  • 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
    • Drive continuous improvement of alpha generation and capacity expansion
    • Collaborate with the founder, product, and growth teams to align research output with company goals
  • Systems & Development:
    • 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 DevOps and infrastructure practices, ensuring auditability, reliability, and security of data flows and execution systems
    • Continuously leverage AI assistance to boost creativity and product velocity

Preferred Background:

  • 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

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