Trading Technology & Quant Development Intern

About Agora Circle

Agora Circle is a modern learning and collaboration channel built with a mission to spark awareness and revolution within the retail trading community. Our goal is to become the ultimate one-stop destination for financial knowledge, empowering traders, investors, and enthusiasts with the insights, tools, and understanding they need to thrive in today’s markets.

We bring together educators, creators, and thought leaders to share ideas, insights, and inspiration through engaging conversations and creative storytelling. From market strategy deep-dives to thought-provoking discussions on finance, innovation, and personal growth, our content is designed to inform, inspire, and ignite curiosity.

We are looking for a Production Co-ordinator who can take charge of our end-to-end production process from engineering, conceptualization to final delivery and help shape Agora Circle’s visual and narrative identity across all platforms as we build this movement.

About the Internship

We are looking for a Trading Technology & Quant Development Intern to work closely with our technology and product teams.

This is a hands-on engineering role.

You will work on real components of Trading, particularly around:

Backtesting • Trading Dashboards • Market Data • Strategy Analytics • Trading Workflows • Data Processing

You will not simply be assigned isolated coding exercises.

You will get exposure to the actual engineering problems involved in building a modern trading technology platform.

This role is particularly suited for students or recent graduates who are interested in:

Software Engineering
Quantitative Finance
Algorithmic Trading
Financial Markets
Data Engineering
FinTech
Backtesting Systems
Trading Infrastructure

What you'll Work on :

Backtesting Systems

Work with the team to build and improve components of the Hanulytics backtesting environment.

You may work on:

Historical market-data processing
Strategy execution logic
Backtest workflows
Performance calculations
Trade-level analysis
P&L calculations
Drawdowns and risk metrics
Strategy comparison
Parameter testing
Historical replay
Data validation and preprocessing
You will gain exposure to how trading strategies are tested against historical market data before being considered for live or forward testing.

Trading Dashboard

Help build interactive dashboards that allow users to understand their strategies and portfolios.

This can include:

Strategy performance dashboards
P&L visualization
Trade analytics
Portfolio analytics
Risk metrics
Drawdown analysis
Equity curves
Market-data visualizations
Trading activity
Performance comparisons
You will work closely with frontend engineers and product teams to convert quantitative outputs into intuitive user experiences.

Market Data

Work with financial-market datasets and learn how trading platforms handle structured and time-series data.

You may work with:

OHLCV data
Tick data
Options data
Instrument metadata
Historical market data
Real-time data feeds
Data normalization
Data validation
Time-series processing
Understanding how market data moves through a trading system will be an important part of the internship.

Trading and Strategy Infrastructure

Get exposure to the technology behind algorithmic trading systems.

Depending on your skill level, you may contribute to:

Strategy execution workflows
Signal processing
Order and trade representations
Trading simulations
Risk-management logic
Broker/API integrations
Real-time data flows
WebSocket-based systems
Strategy configuration and management

What You'll Do -

Develop and maintain trading and software components for Agora Circle Trading Desk.
Assist in developing backtesting and strategy-analysis functionality.
Build data-processing workflows for historical and real-time market data.
Support development of trading and portfolio dashboards.
Write scripts and utilities for financial-data analysis.
Test and validate trading calculations and system outputs.
Debug issues across data, backend and frontend systems.
Work with engineers to improve system performance and reliability.
Document technical workflows and processes.
Participate in product and engineering discussions.
Research new technologies and approaches relevant to trading systems.

Who We're Looking for

We are particularly interested in Traders who are:

B.Tech / B.E. students
M.Tech students
Computer Science / IT students
Mathematics / Statistics students with strong programming skills
Engineering graduates
Students interested in quantitative finance and algorithmic trading

0–2 years of experience is acceptable.

What matters more than your resume is whether you can think logically, code well, learn quickly, and solve problems. You will be a good fit if you have built something outside your coursework.

Maybe you've:

Built a trading strategy.
Created a backtesting script.
Worked with stock-market APIs.
Built a trading dashboard.
Experimented with Python and financial data.
Created an algo-trading project.
Worked on a data-analysis project.
Built a small web application.
Participated in a hackathon.
Contributed to an open-source project.
Even if the project isn't production-grade, we want to see how you think.