Internship – Backend Developer (Algo Trading) | JarNox

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.