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Senior Quant Developer – Stockhunt AI

Posted 4 months ago
5-10 years experience
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AI Summary

Design, build, and deploy systematic trading strategies and research infrastructure for various asset classes. Integrate machine learning models into trading workflows and monitor performance to improve risk-adjusted returns.

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.



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