NK Securities Research is a leading financial firm that leverages cutting-edge technology, data-driven research, and sophisticated algorithms to trade financial markets. Founded in 2011, we have built deep expertise in high-frequency trading across different asset classes.
We are a fast-growing organization with a strong research and technology culture. The firm’s lean and meritocratic structure enables individuals to work closely with experienced researchers, traders, and engineers, while taking ownership of high-impact problems from an early stage.
Role Overview
We are looking for an AI/ML Researcher to join our central AI/ML research team in India. This is a research-intensive role suited for individuals who enjoy mathematical problem-solving, experimentation, and working with complex, noisy, high-dimensional datasets. The role will involve close collaboration with quantitative researchers, traders, engineers, and business stakeholders to identify areas where AI/ML can create meaningful value across the firm.
The ideal candidate should be comfortable working on open-ended research problems, converting ideas into structured experiments, and building models that can be evaluated rigorously in real-world settings.
Key Responsibilities
As an AI/ML Researcher, you will:
- Work on our GPU cluster to research and understand the fine-grained behavior of large neural networks and LLM training.
- Fine-tune existing open-source models and build benchmarks to evaluate their performance.
- Explore and analyze large-scale financial market datasets.
- Build ML and statistical models for pattern discovery, prediction, and signal generation.
- Work on short-horizon, noisy, and non-stationary market data.
- Conduct feature engineering, model validation, and performance evaluation.
- Study pricing, market microstructure, and execution-related research problems.
- Convert research ideas into structured experiments with measurable outcomes.
- Collaborate with quantitative researchers, traders, and engineers to translate research into practical use cases.
- Present research findings clearly to technical and business stakeholders.
- Contribute to building reusable research frameworks, tools, and best practices for the AI/ML research function.
Ideal Candidate Profile
We are looking for someone with:
- Strong foundation in mathematics, statistics, probability, linear algebra, optimization, and machine learning.
- Strong programming skills in Python.
- Ability to work with large datasets, run experiments, and interpret results rigorously.
- Strong analytical and problem-solving ability.
- Comfort with ambiguity, open-ended problems, and iterative research.
- Ability to independently structure research problems and drive them to conclusion.
- Curiosity to learn new domains, ask thoughtful questions, and challenge assumptions.
- Strong communication skills to explain research outcomes clearly.
Preferred Skills
- Python, NumPy, Pandas, Scikit-learn
- Machine learning, deep learning, and time-series modelling
- Probability, statistics, and optimization
- LLMs, neural networks, model fine-tuning, and benchmarking
- Research-oriented problem solving
- Experience with Kaggle, research projects, trading datasets, ML competitions, or large-scale data problems
- Prior exposure to financial markets, quantitative research, or market microstructure is a plus, but not mandatory
Why Join Us
- Opportunity to be part of a central AI/ML research team being built within a research-driven trading firm.
- Work on real-world, high-impact problems involving complex and evolving datasets.
- Collaborate closely with experienced quantitative researchers, traders, and engineers.
- Strong ownership from an early stage.
- Exposure to research problems across AI/ML, quantitative finance, market microstructure, pricing, and execution.
- Fast-paced, meritocratic environment with significant learning and growth opportunities.
What We Offer:
- Competitive salary package.
- A dynamic, high-performance, and collaborative work environment.
- Strong focus on career growth and development.
- Catered breakfast and lunch.
- Monthly team dinners.
- Annual international and domestic team trips.