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Job Title: Quantitative Developer (Full-time)

Location: Pune

Role Overview

As a Quantitative Developer, you will be responsible for building end-to-end applications and dashboards that support live trading, risk monitoring, and research workflows. You will own the full lifecycle from data sourcing and modeling to application development and deployment, ensuring traders have fast, intuitive, and reliable tools.

This role is hands-on and requires comfort with both backend systems and frontend interfaces, with a strong emphasis on real-time data delivery, analytics, and visualization. In addition to application development, you will also be expected to assist with data modeling, backtesting, and feature engineering tasks, working closely with researchers to ensure models are properly implemented, thoroughly tested, and seamlessly integrated into production systems.

Because this is a lean and fast-paced environment, we are seeking self-starters who can take ownership, adapt quickly, and thrive without constant supervision. You will be working closely with quant researchers and traders, but not under heavy layers of engineering management, which means your ability to guide yourself, make pragmatic technical decisions, and deliver reliable solutions independently is critical.

Key Responsibilities

● Develop and maintain tools for live P&L tracking, position monitoring, and analytics dashboards.

● Design and manage data pipelines for the ingestion, processing, and storage of real-time and historical market data.

● Collaborate with the trading team to build low-latency execution algorithms and automation tools for quant researchers and traders.

● Contribute to both frontend and backend development for internal systems.

● Build statistical and quantitative research tools to provide insights into market behavior and strategy performance.

● Support traders and researchers with modeling tasks, feature engineering, and backtests.

● Develop modules for strategy prototyping, scenario analysis, and performance evaluation.

● Write clean, efficient, and scalable code with an ownership-driven mindset.

● Continuously learn and adapt to evolving trading needs in a fast-paced environment.

Skills & Qualifications

Must Have:

● Strong programming skills in Python (NumPy, pandas, FastAPI/Flask, Plotly/Dash/Streamlit, Redis).

● Experience with frontend development (React, TypeScript, or similar) and UI/UX

● Prior hands-on experience in Full-stack development and/or Quantitative Domain.

● Solid understanding of databases (SQL/NoSQL) and data pipelines.

● Familiarity with real-time systems (websockets, streaming APIs, message queues).

● Experience with data structures, algorithms, and system design.

● Strong problem-solving skills and a hunger to learn on the job.

Nice to Have:

● Prior experience or interest in financial markets/algo trading/quantitative research.

● Familiarity with C++/Java/.net for performance-critical modules.

● Exposure to DevOps/deployment/cloud infrastructure (AWS, Docker, etc.).

● Exposure to TT ADL and/or experience developing algorithms via TT ADL.

● Knowledge of options, futures, and market microstructure.

What We Offer

● Direct P&L impact - your work will be used live on the trading desk.

● High-growth environment - no bureaucracy, full ownership, rapid execution.

● Opportunity to work across the full quant-tech stack - from models to live applications.

● Competitive compensation with performance-linked upside.

● Opportunity to build core systems from the ground up rather than maintaining legacy code.

Note that we strongly prefer developers who are AI-enabled, especially those with exposure to agentic AI frameworks, and can prototype solutions quickly while also converting them into production-grade applications with reliability and performance in mind. However, while we are an AI-augmented team, it is critical that your foundations in programming, systems design, and problem-solving are strong without relying on AI assistance.

As a C++ developer working in front office electronic trading, your role involves developing and maintaining software solutions for trading systems used in financial markets. Here are some key aspects of your responsibilities:

C++ Programming: Mastery of the C++ programming language is essential, as most trading systems are built using C++ due to its performance and efficiency.

Electronic Trading Systems: You'll work with electronic trading systems that execute trades automatically based on predefined algorithms or user instructions. Understanding order execution, order management, and market data processing is crucial.

Multithreading: Multithreading is vital in electronic trading systems to handle concurrent tasks efficiently. You'll need to design, implement, and debug multithreaded applications to ensure optimal performance and reliability.

Low-Latency Systems: Electronic trading often requires low-latency systems to execute trades swiftly. You'll optimize code and algorithms to minimize latency and ensure timely order execution.

Algorithmic Trading: Knowledge of algorithmic trading strategies and implementing them in software is advantageous. This includes understanding mathematical models, statistical analysis, and risk management.

Networking: Understanding network protocols and communication is necessary for connecting trading systems to exchanges, brokers, and other financial institutions. This involves working with TCP/IP, UDP, and messaging protocols like FIX (Financial Information Exchange).

Risk Management: You'll implement risk controls and safeguards in trading systems to prevent erroneous trades or mitigate risks associated with market volatility.

Testing and Debugging: Thorough testing and debugging are crucial to ensure the reliability and stability of trading systems. You'll write automated tests, perform manual testing, and debug issues to maintain system integrity.

Performance Optimization: Continuously optimizing the performance of trading systems is essential to handle increasing trading volumes and maintain competitiveness. This involves profiling code, identifying bottlenecks, and applying optimizations.

Regulatory Compliance: Adhering to regulatory requirements and standards in the financial industry is critical. You'll ensure that trading systems comply with regulations such as MiFID II, Dodd-Frank, and others applicable to electronic trading.

Collaboration: Working closely with traders, quants, risk managers, and other stakeholders to understand requirements and implement solutions that meet business needs.

Documentation: Maintaining clear and comprehensive documentation for code, algorithms, and system architecture is important for knowledge sharing and compliance purposes.

Overall, being a C++ developer in front office electronic trading requires a strong technical foundation, attention to detail, and the ability to work effectively in a fast-paced and demanding environment.

Domain: - Investment Banking or Electronic Trading is mandatory

• Develop (Python/Py test) automation tests in all components (e.g. API testing, client-server testing, E2E testing etc.) to meet product requirements and customer usages
• Hands-On experience in Python
• Proficiency in test automation frameworks and tools such as Selenium, Cucumber.
• Experience working in a Microsoft Windows and Linux environment
• Experience using Postman and automated API testing
• Experience designing & executing load/stress and performance testing
• Experience using test cases & test execution management tools and issues management tools (e.g Jira), and development environments (like Visual Studio, IntelliJ, or Eclipse).