Software Developer Intern

**About ALpresi Research** ALpresi Research is a premier, data-driven quantitative research and technology firm operating at the intersection of mathematical finance, advanced data science, and institutional-grade software development. We design and build sophisticated quantitative trading software and infrastructure, specializing in fully automated, high-performance, and risk-managed trading systems. **🎯Role Overview** We are seeking a highly motivated and technically sharp **Software Engineering Intern** to join our core development team. In this role, you will help bridge the gap between complex mathematical trading ideas and production-grade execution systems. You will work closely with researchers to optimize algorithms, manage data pipelines, and develop low-latency trading infrastructure using Python and C/C++. **🛠️Key Responsibilities** * System Development: Write clean, robust, and highly optimized code in Python and C++ for our proprietary trading systems and infrastructure. * Data Engineering: Build, maintain, and optimize high-throughput data pipelines for real-time and historical financial market data. * Strategy Implementation: Help translate quantitative trading strategies and mathematical models into fully automated production code. * Performance Optimization: Analyze existing codebases to identify performance bottlenecks, reducing latency and increasing system throughput. * Testing & Validation: Implement rigorous automated testing and validation frameworks to ensure system stability and strict risk management. **🎓Required Skills & Qualifications** * Technical Stack: Strong proficiency in Python (for data processing, analysis, and scripting) and C/C++ (for object-oriented design and performance-critical systems). * Academic Background: Pursuing a Degree (B.Tech / M.Tech / MS) in Computer Science, Quantitative Finance, Mathematics, or a highly technical engineering field. * Core Fundamentals: Deep understanding of data structures, algorithms, memory management, and multi-threading concepts. * Domain Interest: A strong interest in financial markets, quantitative trading structures, or algorithmic execution (prior knowledge of cash/derivatives is a huge plus). * Mindset: A strong engineering-first approach, analytical problem-solving mindset, and the ability to work under minimal human intervention. **🎁 What You Will Gain** * Paid Internship: Competitive monthly stipend based on skills and performance. * Direct, hands-on experience building production-grade software for live financial markets. * Mentorship from quantitative software developer market professionals with over a decade of execution experience. * Exposure to low-latency infrastructure design and real-world risk management models. * Potential for a full-time role (Pre-Placement Offer) based on exceptional internship performance.