The Quantitative Developer plays a key role in building and optimizing financial models, trading strategies, and risk management solutions. This position requires expertise in programming, algorithmic trading, data analysis, and quantitative finance. The ideal candidate will work closely with traders, quantitative analysts, and risk managers to develop scalable, high-performance systems for financial markets.

• Financial Model Development – Design and implement financial models for pricing, trading strategies, portfolio optimization, and risk management.

• Quantitative Analysis – Develop and refine stochastic models, Monte Carlo simulations, time series forecasting, and machine learning-based models.

• High-Performance Computing – Build and optimize low-latency, real-time trading and risk management applications.

• Algorithmic Trading – Implement and optimize automated trading strategies and quantitative analytics.

• Data Processing & Analysis – Handle large financial datasets, including market data, historical prices, and alternative data sources.

• Backtesting & Stress Testing – Validate trading models for robustness and ensure strategies perform under various market conditions.

• Regulatory Compliance – Ensure models and trading strategies align with Basel III, MiFID II, SEC, and other financial regulations.

• Risk Analytics & Scenario Testing – Develop frameworks for risk assessment and scenario analysis.

• Code Optimization – Refactor and enhance existing code to improve performance, scalability, and efficiency.

• Cross-Team Collaboration – Work closely with quantitative analysts, traders, risk managers, and software engineers to align business and technology objectives.

• Documentation & Transparency – Maintain detailed documentation of code, model assumptions, and testing procedures for auditability.

• Strong programming skills in Python, C++, Java, or C#.

• Experience with numerical computing libraries (NumPy, Pandas, SciPy) and machine learning frameworks (TensorFlow, PyTorch).

• Proficiency in SQL and NoSQL databases for managing financial data.

• Knowledge of cloud computing, distributed computing, and parallel processing (AWS, Azure, Hadoop, Spark).

• Experience with high-frequency trading (HFT), low-latency systems, and algorithmic trading.

• Strong background in probability, statistics, stochastic calculus, and time series analysis.

• Experience with option pricing models, portfolio optimization, and risk modeling.

• Deep understanding of financial instruments, including derivatives, fixed income, and equities.

• Ability to work in a fast-paced, high-pressure financial environment.

• Strong communication and collaboration skills to work with both technical and non-technical teams.

• Experience in hedge funds, investment banks, fintech, or proprietary trading firms preferred.

• Bachelor's, Master's, or PhD in Computer Science, Mathematics, Physics, Engineering, Financial Engineering, or a related field.

• Preferred Certifications: CFA, FRM, CQF (Certificate in Quantitative Finance).

• Quantitative Development & Methodologies

• Python

• NoSQL Databases

• Financial Modeling & Risk Management

• Monte Carlo Simulations & Backtesting

• Basel III Compliance

• C#

• Low-Latency Systems & HFT

• NumPy & Advanced Data Analysis

Even if you don't fully meet every requirement, we will still be open to review your application. We value diverse expertise and perspectives that drive innovation.

Connect with us on LinkedIn to explore more opportunities! https://www.linkedin.com/company/talenttohire/