Live opening · Posted 3 days ago
Software Developer Intern
ALPRESI RESEARCH · Greater Vadodara Area (On-site)
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At a glance
The key details from the original listing.
CompanyALPRESI RESEARCH
LocationGreater Vadodara Area (On-site)
Work modeNo
SkillsPython, C++
Source
Linkedin
ListedPosted 3 days ago
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About the role
Description supplied by the original job listing.
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.
Work arrangement
No
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