Senior Quant Developer – Stockhunt AI

Remotestar; Ahmedabad District; On-site; INR 14,286,000 - 20,000,000; Full time

Benefits offered by this job

Performance bonus

Stock options

Global platform exposure

Job summary

Remotestar is seeking a Senior Quant Developer to design, build, test, and deploy systematic trading strategies in a remote/global setting. You will work on AI-driven trading across multiple asset classes and integrate ML models into live workflows.

The ideal candidate has 5+ years of Python development, strong finance knowledge, and hands-on experience with portfolios, backtesting, and risk management in a fast-paced trading environment.

Qualifications

• 5+ years of Python development experience.
• Strong statistics and quantitative finance knowledge.
• Experience with futures, forex, equities, or crypto trading.
• Experience with time-series databases and cloud environments.

Responsibilities

• Develop and maintain quantitative trading strategies.
• Build backtesting, optimization, and portfolio construction frameworks.
• Integrate machine learning models into trading workflows.
• Collaborate with platform teams and deploy to production.
• Monitor strategy performance and optimize risk-adjusted returns.

Skills

Python

Pandas

NumPy

Polars

Quant frameworks

Portfolio optimization

Trading experience

PostgreSQL

Docker

Git

CI/CD

Tools

Docker

Git

CI/CD

Job description

Job Description

Role: Senior Quant Developer – AI

Location: Remote / Kraków / Ho Chi Minh City / Ahmedabad

Employment Type: Full-Time

Experience: 5+ Years

About Client

They are building an AI-driven trading and investing platform covering stocks, futures, forex, and crypto. They develop quantitative strategies, portfolio models, copy trading solutions, and low-latency execution systems.

Role Overview

We are seeking a Senior Quant Developer to design, build, test, and deploy systematic trading strategies. The ideal candidate combines strong software engineering skills with quantitative finance and algorithmic trading experience.

Key Responsibilities

• Develop and maintain quantitative trading strategies.
• Build backtesting, optimization, and portfolio construction frameworks.
• Implement walk-forward analysis, Monte Carlo testing, and robustness validation.
• Work with market data including equities, futures, forex, and crypto.
• Integrate machine learning models into trading workflows.
• Collaborate with Java execution and platform engineering teams.
• Deploy research into production trading environments.
• Monitor strategy performance and improve risk‑adjusted returns.

Required Skills

• 5+ years Python development experience
• Strong knowledge of Pandas, Polars, NumPy
• Experience with VectorBT, Backtrader, or QuantConnect LEAN
• Strong statistics and quantitative finance knowledge
• Portfolio optimization and risk management experience
• Experience with futures, forex, equities, or crypto trading
• Knowledge of PostgreSQL, TimescaleDB, and cloud environments
• Git, Docker, CI/CD experience

Preferred Skills

• Machine learning (XGBoost, LightGBM, PyTorch)
• FIX protocol knowledge
• Interactive Brokers, Alpaca, or LMAX integrations
• Java or C++ exposure
• Experience with institutional trading systems

Success Metrics

• Build 100+ validated strategy candidates annually
• Develop production-grade research infrastructure
• Improve portfolio Sharpe ratio and reduce drawdowns
• Create scalable AI-driven trading models

Compensation

• Competitive salary,
• performance bonus,
• stock options/equity consideration,
• opportunity to work on a global AI trading platform.