Intern

About the job

Location: India (Bhubaneswar) & Remote option available Domain: Algorithmic / High-Frequency Trading (HFT) Type: Internship (3–6 months, with potential full-time conversion) About JarNox JarNox is building the next-generation trading infrastructure to power algorithmic and high-frequency strategies across global markets. As an intern, you’ll gain hands-on exposure to quantitative trading, backend system design, and financial data engineering, working directly with experienced developers and quants. Key Responsibilities: • Support the design and development of automated trading strategies across asset classes. • Assist in building and maintaining backend systems for data ingestion, APIs, and execution frameworks. • Contribute to back-testing, statistical analysis, and real-time monitoring of strategies. • Work with large market datasets to identify patterns, inefficiencies, and trading opportunities. • Learn and help implement risk management tools for position sizing and exposure monitoring. • Stay updated with market structure, regulations, and technology influencing trading efficiency. Skills & Requirements: • Education: Pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, Statistics, or a Finance-related field. • Programming: Strong skills in Python (knowledge of C++/R is a plus). • Foundations: Understanding of data structures, algorithms, and probability/statistics. • Preferred: • Familiarity with trading platforms, APIs, or market data systems. • Exposure to quantitative models or back-testing frameworks. • Mindset: • Curious, analytical, and comfortable working with data. • Able to collaborate in cross-functional teams (developers, researchers, quants). • Eagerness to learn, iterate, and adapt in fast-paced environments. What You’ll Gain: • Real-world exposure to algorithmic trading and backend systems. • Mentorship from experienced quants, engineers, and traders. • Opportunity to work on live trading infrastructure in simulation environments. • Internship stipend (performance-linked). • Potential for a full-time offer based on performance.

Requirements

• Python
• Data Structures
• Algorithms
• Statistics

Qualifications

• Pursuing or recently completed a degree in Computer Science
• Engineering
• Mathematics
• Statistics
• Finance

Preferred Technologies

• Python
• Data Structures
• Algorithms
• Statistics

Benefits

• Real-world exposure to algorithmic trading
• Mentorship from experienced quants
• Opportunity to work on live trading infrastructure
• Internship stipend

About the company

JarNox is building the next-generation trading infrastructure to power algorithmic and high-frequency strategies across global markets.