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Algorithmic Trading Systems Engineer

Algorithmic Trading Systems Engineer

Stellar Capital ManagementRepublic Of India, IN
30+ days ago
Job description

Company Description

At Stellar ( https : / / stellarcapital.Ai / ), 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 (₹50L - ₹1Cr PA)
  • Free access to Stellar's employee-only investment fund

Role Description

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
  • 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
  • Or something untraditional that trumps all of the above
  • Stellar Culture

    Fulfilment through the best work of our lives

    🌟 Pursuit of Excellence

  • We are not a family;
  • 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

    💡 Relentless Innovation

    Dare to solve daunting problems with first principles thinking, multidisciplinary ingenuity, resourcefulness, and grit

    🚀 The Fast and The Curious

    The speed of execution and improvement matters more than perfection

    💭 Radical Candor

    Being kind is more important than being nice- say what people need to hear, not what you think they want to hear, and actively seek feedback

    📊 Truth Alone Triumphs

    Change your mind when the facts change, and don't fool yourself with vanity metrics (Delulu is not the solulu)

    🎨 Pride in Craftsmanship

    What we build ends up building us- this is more than "just work"

    🦅 Fewer Rules Rule

    Thrive in freedom by being self-motivated, taking ownership, and always acting in Stellar's best interests

    Contact

    Share your resume and any relevant work (code, links, descriptions) directly with us at join@stellarcapital.ai .

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    System Engineer • Republic Of India, IN

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