Quant Developer (Face to Face Interview)

Job Title: Quant Developer
Experience: 15 Years
Location: New York NY
Employment Type: Contract Only W2 & 1099

Job Summary:

We are looking for an experienced Quant Developer to design, develop, and maintain quantitative models, trading systems, and analytics platforms. The ideal candidate will have strong programming skills, quantitative/mathematical knowledge, and experience working with financial markets, trading strategies, and large-scale data.

Key Responsibilities:

• Develop and implement quantitative models and trading strategies.
• Build high-performance applications for trading, pricing, risk management, and analytics.
• Work closely with quantitative researchers, traders, and risk teams.
• Develop and backtest algorithmic trading strategies.
• Analyze large financial datasets and identify patterns and opportunities.
• Optimize code for performance, scalability, and low latency.
• Implement pricing and risk models for financial products.
• Develop data pipelines for market and trading data.
• Perform model validation, testing, and statistical analysis.
• Troubleshoot and enhance existing quantitative trading applications.
• Ensure accuracy, reliability, and robustness of quantitative systems.

Required Skills:

• Strong programming experience in Python and/or C .
• Strong knowledge of Data Structures, Algorithms, OOP, and Software Engineering.
• Strong understanding of Statistics, Probability, Linear Algebra, and Numerical Methods.
• Experience with Quantitative Finance / Financial Markets.
• Experience developing algorithmic or systematic trading strategies.
• Knowledge of derivatives, equities, fixed income, FX, or other financial instruments.
• Experience with backtesting and statistical modeling.
• Strong SQL/database experience.
• Experience working with large datasets and market data.
• Understanding of risk management and portfolio analytics.

Preferred Skills:

• C 17/C 20
• Python, NumPy, Pandas, SciPy
• PyTorch / TensorFlow
• R
• Linux/Unix
• SQL
• Git
• Kafka
• AWS/Azure/Google Cloud Platform
• Low-latency/high-frequency trading systems
• Machine Learning / Deep Learning
• Bloomberg / Refinitiv / Reuters market data
• FIX protocol