Machine Learning Researcher | Delhi, India

Location:

Delhi, India

Domain Focus:

AI-Driven Algorithmic Trading, Deep Learning for Time Series Analysis

Experience:

3+ years of experience in ML research for finance

International Talent:

Yes, international applicants are encouraged

Are you prepared to engineer the future of quantitative finance as a technologist at the heart of India's capital region?

We’re seeking technologists at heart who are eager to apply AI, ML, and big data to fundamentally disrupt traditional finance. These innovators seek the unique opportunity in Delhi to scale next-generation trading strategies and lead a competitive technological wave.

The Profile – Your Expertise

Experts in scalable deep learning architecture, leveraging cutting-edge AI to generate alpha from complex, high-velocity datasets.

Career Path, Projects And Performance:

• Track record of deploying ML models from ideation to live, low-latency production.
• Measurable impact on strategy by exploiting complex patterns in alternative data.
• Career focused on applying advanced research to scalable, real-world financial challenges.
• Proven success optimizing model training and inference pipelines for efficiency.

Professional And Technical Prowess:

• Successfully developed and deployed machine learning models that generated alpha or significantly improved trading strategy performance.
• Experience with the end-to-end ML lifecycle, from data sourcing and feature engineering to model deployment and monitoring.
• Experience guiding cross-functional teams in the adoption of new computational infrastructure.
• Mastery of deep learning frameworks, including PyTorch and TensorFlow.

Qualifications, Licenses And Academic Achievements:

• Advanced degree (Ph.D. or M.S.) in a quantitative field (Computer Science, Statistics).
• Academic foundation solidified by published research in machine learning or related finance.
• Continuous professional development on the latest advancements in AI/ML methodologies.
• Strong background in probability theory, linear algebra, and time series analysis.

Who You Are And What We Need

• Individuals who naturally align with a collaborative environment and articulate ideas with clarity and precision.
• Professionals driven by a deep technical curiosity and an intrinsic desire to innovate in a meritocratic setting.
• High-calibre performers committed to ownership, accountability, and the relentless pursuit of superior results.
• Analytical thinkers who quickly integrate new technologies to solve complex, evolving market challenges.

If you're ready to lead with conviction and build something enduring, we want to hear from you.

Apply Above Or Connect Directly:

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Discreet conversations are always welcome (if concerned contact us directly)