Quantitative Engineer Internship - Remote Work Opportunity
Remote · Full Time internship
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- Stipend
- Stipend: INR 12,000 – INR 15,000 / month
- Duration
- 6 months
- Start
- Immediately
- Openings
- 4
Candidates eligible to apply must be able to work remotely, start the internship between 17th September 2026 and 22nd October 2026, commit to the full 6-month duration, and possess the relevant technical skills and enthusiasm for the role.
- Work mode
- Work from home
- Resume
- Required to apply
About the internship
About the Internship
You will engage in developing and validating quantitative trading strategies utilizing Python programming. The role involves enhancing backtesting platforms and designing tools for quantitative analysis. Responsibilities include working extensively with historical financial market data, establishing data processing pipelines, and evaluating performance metrics like returns, drawdown, volatility, and Sharpe ratios.
Researching various technical indicators, statistical analytical techniques, and systematic methods for trading will be an integral part of your tasks. You will identify any biases in strategies, address data inconsistencies, and detect potential overfitting issues. Coordination of market data API integrations with quantitative research frameworks is expected.
Further, you will be responsible for the creation of tools that facilitate experimentation with strategies, track multiple versions, and monitor performance outcomes. The use of AI and large language models to enhance quantitative research workflows will be encouraged. Comprehensive documentation covering the logic, hypotheses, experiments, and results of strategies will be maintained.
Candidate Eligibility
- Must be able to work from home.
- Availability to start between 17th September 2026 and 22nd October 2026.
- Commitment to a 6-month internship duration.
- Possess relevant skills and interests aligned with the role.
Required Skills and Knowledge
- Proficiency in Python programming.
- Good grasp of Data Structures and Algorithms.
- Foundational understanding of Probability and Statistics.
- Competence in handling Pandas and NumPy libraries.
- Experience with SQL, preferably PostgreSQL.
- Familiarity with Git version control and GitHub platform.
- Strong analytical reasoning and problem-solving capabilities.
- Interest in the algorithmic trading domain and financial markets.
- Appreciation for the challenge of solving mathematical and programming problems, coupled with curiosity about financial market mechanisms.
- Motivation to actively create and test algorithmic trading systems rather than focusing exclusively on theoretical learning.
Compensation and Benefits
The internship provides a monthly stipend ranging between INR 12,000 and INR 15,000. Upon completion, participants will receive a certificate and a letter of recommendation recognizing their contributions and learning.
About the Company
SUAS Enterprises, through its service Skippr, is shaping future living for gated communities by delivering a hyperlocal concierge platform. This platform offers residents streamlined access via an app and WhatsApp to a variety of trustworthy services including pharmacy deliveries, print and courier services, fresh meat procurement, home cleaning, maintenance assistance, and other community amenities, all designed to simplify daily life.