Quantitative Developer

Job Title: Quantitative Developer (Full-time)

Location: Pune

About Us

Gemscap Global Analyst Pvt. Ltd. is a cutting-edge quantitative research and trading firm committed to developing data-driven strategies and technology-driven solutions for global financial markets. Headquartered in Pune, we operate at the intersection of finance, technology, and innovation, leveraging advanced quantitative models, real-time systems, and high-performance computing to drive trading decisions and risk management.

At Gemscap, we foster a high-impact, low-bureaucracy environment where technologists, quants, and traders collaborate closely to build proprietary tools and strategies from the ground up. Our lean structure allows for rapid execution, deep ownership, and a direct line of sight to live trading outcomes.

With a strong focus on continuous learning, experimentation, and full-stack development, we empower our team to explore bold ideas, iterate quickly, and push the boundaries of what’s possible in modern finance. Whether you're building low-latency execution systems or advanced research platforms, your work at Gemscap directly influences trading performance and strategy evolution.

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, back testing, 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.

Job Type: Full-time

Pay: From ₹1,200,000.00 per year

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person