Quantitative Developer

Job Title: Quantitative Developer (Full-time)

Location: Pune

Job Type: Full Time –In Office

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 back tests.

● 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.

Qualifications:

 A Degree in Computer Science, Engineering, Mathematics, or a related quantitative

discipline.

 2–4 years of experience in the related field

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

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person