Quantitative Developer Intern

As a Quant Developer, you'll be at the intersection of computer science, financial modeling, and systems engineering. You will help build high-performance components for our algorithmic trading stack and work closely with traders, researchers, and fellow engineers to design and deploy:

Key Responsibilities

1. Develop custom backtesting frameworks optimized for massive, high-frequency financial data.
2. Build modular components for order execution modeling, signal processing, and PnL tracking.
3. Create low-latency, memory-efficient data pipelines to simulate millions of trades and strategies.
4. Design order book simulators, portfolio engines, and risk modules for real-time decision-making.
5. Transform financial insights and strategies into scalable, production-ready code.

Familiarity With

1. Vectorized computation libraries: Pandas, NumPy, Numba, or Polars.
2. Custom simulation engines or game engines.
3. Tools like Rust, CUDA, Python, or GPU programming.

Experience With

1. Tick/minute-level financial data.
2. Custom execution environments, real-time engines, or simulators.

Understanding of

1. Financial markets, order types, and microstructure.
2. Quantitative strategies such as momentum, mean-reversion, and factor investing.
3. Risk models, portfolio optimization, and execution algorithms.

Projects or Exposure To

1. Backtesting frameworks.
2. Time-series modeling.
3. Custom alpha signal generation from financial data.

Educational Background

1. B.Tech / B.S. / M.S. in Computer Science, Mathematics, Physics, Quant Finance, or related fields.
2. Preferred Institutions: IITs, NITs, IIITs, BITS Pilani, ISI, IISc, VIT, or other Tier-1 colleges.

Competitive Programming

1. Please include your Codeforces, Leetcode, HackerRank, or ICPC profile in your application.
2. Past ICPC participation, top-100 rankings, or equivalent achievements on platforms like Codeforces, LeetCode, or HackerEarth are strongly valued.
3. Experience with problem-solving under constraints, creative algorithms, and deep logical thinking.

Must-Have Skills

1. Exceptional Mastery of Data Structures & AlgorithmsArrays, Trees, Graphs, Tries, Segment Trees, Hashmaps, Priority Queues, Dynamic Programming.
2. Deep understanding of time and space complexity.

Coding Proficiency

1. Python for rapid prototyping, data pipelines, and analysis.
2. C++ for core low-latency and high-throughput systems.

Why Join Us?

1. Work with elite minds from quant finance, HFT, and big tech backgrounds.
2. Build scalable systems that impact millions in P&L.
3. A culture that celebrates performance, curiosity, and precision.
4. Freedom to innovate, run experiments, and own your ideas end-to-end.