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Location
In office (Ahmedabad)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 8, 2026.

Overview
Company
Impact
Profile match
RemoteStar is a global recruitment service that specializes in hiring top-quality tech talent. By assembling diverse teams with vetted developers from various regions, RemoteStar ensures high-quality staffing while maximizing cost efficiency for companies. The service includes a rigorous vetting process, technical matching, and full onboarding support, allowing businesses to focus on their core operations while RemoteStar handles the administrative aspects of recruitment and team management.

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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