Quant Engineer Internship

Selected intern's day-to-day responsibilities include: 1. Develop and test quantitative trading strategies using Python. 2. Build and improve backtesting frameworks and quantitative research tools.

3. Work with historical market data and develop data-processing pipelines. 4. Calculate and analyse performance metrics such as returns, drawdown, volatility, and Sharpe ratio.

5. Research technical indicators, statistical methods, and systematic trading approaches. 6. Identify strategy biases, data issues, and potential overfitting.

7. Integrate market-data APIs and quantitative research systems. 8. Build tools for strategy experimentation, versioning, and performance tracking. 9.

Use AI/LLMs where appropriate to accelerate quantitative research and engineering. 10. Document strategy logic, assumptions, experiments, and results.

Who can apply: Only those candidates can apply who: • are available for the work from home job/internship • can start the work from home job/internship between 17th Sep'26 and 22nd Oct'26 • are available for duration of 6 months • have relevant skills and interests Stipend: INR₹ 12,000 - 15,000 /month Deadline: 2026-10-18 23:59:59 Other perks: Certificate, Letter of recommendation Skills required: Python, SQL, Algorithms, Data Structures, Git, PostgreSQL, Problem Solving, GitHub, scikit-learn, Stock Trading, Data Analysis, NumPy, Pandas, Generative AI Development, Scipy, Probability and Time Series Analysis Other Requirements: • 1.

Strong Python programming skills. • 2. Good understanding of Data Structures and Algorithms. • 3. Basic knowledge of Probability and Statistics. • 4. Familiarity with Pandas and NumPy.

• 5. Knowledge of SQL/PostgreSQL. • 6. Familiarity with Git and GitHub. • 7. Strong analytical and problem-solving abilities. • 8. Interest in financial markets and algorithmic trading.

• 9. Enjoys solving mathematical and programming problems and is curious about how financial markets work. • 10. Willingness to build and experiment with algorithmic trading systems rather than focusing solely on theoretical concepts.

About Company: Skippr is a service of SUAS Enterprises, which is building the future of community living by creating a hyperlocal concierge and services platform for gated communities.

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