Quantitative Developer

Job Overview:

We are a leading asset management firm known for our rigorous standards and our commitment to hiring the best talent in the industry. We are looking for a highly skilled Quantitative Developer with a passion for data, quantitative analysis, and advanced financial modeling. The ideal candidate will have at least 3 years of experience working with top-tier companies, a stellar educational background, and expertise in Python, R, SAS, and Hadoop. This individual will contribute to the development of quantitative models and platforms used to drive our asset management strategies.

Key Responsibilities:

• Develop, implement, and maintain cutting-edge quantitative models and algorithms to support portfolio management, risk analysis, and trading strategies.
• Work closely with portfolio managers, quants, and traders to design solutions for data analysis, predictive modeling, and asset pricing.
• Analyze and process large datasets, identifying trends, anomalies, and opportunities for optimization.
• Develop tools for backtesting, performance attribution, and risk management, ensuring scalability and accuracy of models.
• Contribute to the ongoing improvement of the firm’s data infrastructure by working with Hadoop for big data processing.
• Optimize existing quantitative frameworks to enhance performance and efficiency across various financial instruments.
• Collaborate with cross-functional teams, ensuring smooth integration of models with production systems.
• Continuously research and implement the latest quantitative techniques, data science methodologies, and machine learning models.

Key Qualifications:

• 3+ years of experience as a Quantitative Developer or in a similar role at a leading financial institution or technology firm.
• Strong proficiency in Python, R, SAS, and Hadoop for data processing, analysis, and modeling.
• A degree in Quantitative Finance, Computer Science, Engineering, Mathematics, Statistics, or a related field from a top-tier university.
• Deep understanding of quantitative finance, algorithmic trading, and financial engineering concepts.
• Experience in working with large datasets and developing models that drive decision-making in asset management or trading environments.
• Solid grasp of statistical analysis, machine learning, and data mining techniques.
• Experience with cloud computing platforms, distributed systems, and big data analytics is a plus.

Desired Skills and Attributes:

• Exceptional problem-solving skills, with the ability to translate complex data and financial models into actionable insights.
• Meticulous attention to detail and a commitment to producing high-quality work.
• Strong communication skills, with the ability to collaborate effectively with quants, data scientists, and portfolio managers.
• A relentless drive to learn, improve, and stay ahead of the curve in the fast-evolving world of quantitative finance.
• Ability to thrive in a high-pressure, high-stakes environment where excellence is the standard.
• Strong work ethic, demonstrating both independence and a commitment to team success.

What We Offer:

• Work with a world-class team of quants, data scientists, and technologists.
• Competitive compensation package, including performance-based bonuses.
• Opportunities for professional development and advancement in a highly stimulating environment.
• Access to state-of-the-art technology, data sets, and research platforms.
• A culture that values innovation, collaboration, and the pursuit of excellence.