Quantitative Analyst

Job Title: Quantitative Risk Analyst – Equities Research & Java Development

Location: New York City

About Us:

Client is a leading NYC/Global investment firm that specializes in delivering innovative solutions in the financial markets. They are launching a new internal company and are seeking a highly skilled Quantitative Risk Analyst with a background in equities research as well as experience in Java and python development to join a small dynamic team. This is an exciting opportunity to contribute to critical risk management processes, develop custom factor based analytics, and define the direction of a cutting-edge data-driven company and product.

Position Overview:

The Quantitative Risk Analyst will play a key role in developing and implementing quantitative models to assess and mitigate risk across equity portfolios. The ideal candidate will combine strong experience in financial analysis, equities research, and quantitative risk methodologies with a solid understanding of Java development to build robust risk management tools and solutions.

You will work closely with the risk management, trading, and research teams to provide actionable insights and help optimize risk-adjusted returns. This role requires a strong analytical mindset, the ability to work with large datasets, and the skill to develop software solutions that enhance risk analysis.

Key Responsibilities:

• Develop, validate, and implement quantitative models for risk assessment, focusing on equity market risks, including but not limited to factor based modeling, value-at-risk (VaR), stress testing, and scenario analysis.
• Conduct in-depth equities research, including analyzing market trends, asset performance, and financial data to assess potential risks and opportunities.
• Use Java programming skills to develop, maintain, and optimize software tools and applications that support risk management and quantitative analysis.
• Work closely with other departments, including trading and research teams, to ensure alignment of risk models with overall investment strategies.
• Create and maintain data pipelines, integrating market data and financial metrics to enhance quantitative analysis capabilities.
• Conduct performance attribution analysis, risk factor decomposition, and scenario analysis for equity portfolios.
• Design and run backtests for risk models and strategies to evaluate their effectiveness and refine as necessary.
• Provide clear communication of risk findings to senior management, translating complex quantitative insights into actionable business recommendations.
• Stay up-to-date with industry trends, financial regulations, and advancements in technology that impact risk management.

Required Qualifications:

• Bachelor's or Master’s degree in Finance, Economics, Mathematics, Computer Science, or a related field.
• Proven experience in quantitative risk analysis, ideally within an equity-focused environment.
• Strong experience in equities research, including knowledge of financial statements, equity valuations, and performance metrics.
• Proficiency in Java development with the ability to create, test, and maintain risk management systems and applications.
• Solid understanding of financial derivatives, market risk, and portfolio management strategies.
• Strong quantitative and statistical analysis skills with proficiency in tools such as Excel, Python, R, or similar programming languages.
• Experience with data analysis tools, such as SQL, databases, and financial data providers (e.g., Bloomberg, FactSet).
• Ability to explain complex quantitative findings to non-technical stakeholders.
• Strong problem-solving skills, attention to detail, and the ability to work independently.

Preferred Qualifications:

• Experience with machine learning or advanced statistical methods in financial modeling.
• Familiarity with additional programming languages such as Python or C .