Senior Quant Developer
Budget: $25 – $70 USD
Job Title: Senior Quant Developer
* **Location:** Remote (Strictly Limited to Candidates Residing in Poland & Vietnam Only)
* **Employment Type:** Full-Time
* **Experience:** 5+ Years
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> **⚠️ GEOGRAPHIC RESTRICTION NOTICE**
> We are only evaluating talent based out of **Poland and Vietnam** for this specific role due to our existing infrastructure hubs. Please **do not submit or bid** with candidates located in other countries, as they will not be considered.
---
### **About the Role**
We are seeking a highly skilled **Senior Quant Developer** to design, build, test, and deploy advanced algorithmic trading strategies covering stocks, futures, and crypto. In this role, you will bridge the gap between quantitative research and production-grade software engineering, focusing heavily on intra-day trading systems and complex portfolio optimization.
### **Key Responsibilities**
* **Strategy Development:** Design and implement robust, high-performing intra-day trading algorithms for equities, futures, and digital assets.
* **Backtesting & Validation:** Build, maintain, and optimize simulation frameworks to backtest strategies using historical and live market data.
* **Portfolio Optimization:** Implement mathematical models for asset allocation, risk management, and portfolio rebalancing.
* **Risk & Execution:** Develop risk management modules to monitor real-time exposure, drawdowns, and transaction costs.
* **Infrastructure Engineering:** Ensure code scalability, reliability, and clean integration with market data APIs and execution platforms.
### **Required Skills & Experience**
* **Experience:** 5+ years of professional software engineering experience with a solid track record in quantitative or algorithmic trading.
* **Core Languages:** Mastery of **Python** and deep proficiency within its scientific stack (**Pandas, NumPy**).
* **Quant Frameworks:** Hands-on experience with advanced backtesting libraries (e.g., VectorBT, Backtrader, or QuantConnect LEAN).
* **Quantitative Finance:** Strong foundation in statistics, portfolio theory, risk modeling, and alpha generation.
* **Asset Classes:** Direct experience handling data and trading logic for **stocks, futures, or cryptocurrency**.
### **Preferred Technical Skills**
* Familiarity with high-performance Python tools (e.g., Polars) or compiled languages (Java/C++).
* Experience with timeseries databases (PostgreSQL, TimescaleDB) and cloud infrastructure (AWS/GCP).
* Knowledge of Machine Learning workflows applied to financial data.
### **What We Offer**
* Competitive compensation and performance-based bonuses tied to strategy metrics.
* Flexible, fully remote work environment within our designated regions.
* The opportunity to work on cutting-edge trading infrastructure in a fast-growing global market.
* **Location:** Remote (Strictly Limited to Candidates Residing in Poland & Vietnam Only)
* **Employment Type:** Full-Time
* **Experience:** 5+ Years
---
> **⚠️ GEOGRAPHIC RESTRICTION NOTICE**
> We are only evaluating talent based out of **Poland and Vietnam** for this specific role due to our existing infrastructure hubs. Please **do not submit or bid** with candidates located in other countries, as they will not be considered.
---
### **About the Role**
We are seeking a highly skilled **Senior Quant Developer** to design, build, test, and deploy advanced algorithmic trading strategies covering stocks, futures, and crypto. In this role, you will bridge the gap between quantitative research and production-grade software engineering, focusing heavily on intra-day trading systems and complex portfolio optimization.
### **Key Responsibilities**
* **Strategy Development:** Design and implement robust, high-performing intra-day trading algorithms for equities, futures, and digital assets.
* **Backtesting & Validation:** Build, maintain, and optimize simulation frameworks to backtest strategies using historical and live market data.
* **Portfolio Optimization:** Implement mathematical models for asset allocation, risk management, and portfolio rebalancing.
* **Risk & Execution:** Develop risk management modules to monitor real-time exposure, drawdowns, and transaction costs.
* **Infrastructure Engineering:** Ensure code scalability, reliability, and clean integration with market data APIs and execution platforms.
### **Required Skills & Experience**
* **Experience:** 5+ years of professional software engineering experience with a solid track record in quantitative or algorithmic trading.
* **Core Languages:** Mastery of **Python** and deep proficiency within its scientific stack (**Pandas, NumPy**).
* **Quant Frameworks:** Hands-on experience with advanced backtesting libraries (e.g., VectorBT, Backtrader, or QuantConnect LEAN).
* **Quantitative Finance:** Strong foundation in statistics, portfolio theory, risk modeling, and alpha generation.
* **Asset Classes:** Direct experience handling data and trading logic for **stocks, futures, or cryptocurrency**.
### **Preferred Technical Skills**
* Familiarity with high-performance Python tools (e.g., Polars) or compiled languages (Java/C++).
* Experience with timeseries databases (PostgreSQL, TimescaleDB) and cloud infrastructure (AWS/GCP).
* Knowledge of Machine Learning workflows applied to financial data.
### **What We Offer**
* Competitive compensation and performance-based bonuses tied to strategy metrics.
* Flexible, fully remote work environment within our designated regions.
* The opportunity to work on cutting-edge trading infrastructure in a fast-growing global market.