Quantitative Software Developer (NYC based Fund)

Job Description: Quantitative Developer

We are seeking a skilled and driven Quantitative Developer to join our team. The ideal candidate will have a strong foundation in financial technology, quantitative analysis, and software development, with experience in both risk technology and portfolio management. In this role, you will develop and enhance the technology stack supporting risk analytics and data insights for financial portfolios, working with cutting-edge tools and frameworks. You will collaborate closely with portfolio managers, risk teams, and other stakeholders to improve financial reporting, risk models, and data analytics tools.

Key Responsibilities:

• Lead development of the firm's quantitative risk technology stack, providing critical data insights and analytics for portfolio management.
• Develop and maintain financial reports to track exposures across assets, counterparties, P&L decomposition, and risk factors (market, counterparty, credit, and FX risks).
• Design and implement quantitative models to assess portfolio performance, including the development of factor models to support portfolio alpha analysis.
• Perform ad-hoc research and scenario analysis on different market events to model portfolio movements and exposures, providing actionable insights for management to mitigate risks effectively.
• Integrate and coordinate the firm's technology stack with third-party vendors such as Alpha Theory and MSCI's Barra portfolio management systems.
• Develop tools to analyze short interest data, helping portfolio managers understand sentiment changes and the firm's market position.
• Utilize Python, C#, and other programming languages to build, optimize, and maintain software applications in a distributed computing environment.
• Enhance performance of critical financial systems, including database optimization and workflow re-architecture for improved efficiency.
• Collaborate with team members in a test-driven development environment, writing unit tests to ensure the quality of newly developed code.
• Implement and maintain RESTful web services to handle API requests for key financial analytics.

Required Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Financial Engineering, or a related field.
• Proficiency in programming languages such as C , Python, and SQL.
• Strong understanding of financial markets and risk management, with experience in quantitative finance, portfolio management, or risk technology.
• Solid knowledge of financial reporting and the ability to enhance and develop risk analytics tools and reports.
• Experience working with third-party financial technology platforms and APIs.
• Ability to optimize complex financial systems and improve performance.
• Familiarity with modern software development practices, including test-driven development, version control, and continuous integration.
• Excellent communication and problem-solving skills, with the ability to collaborate effectively across teams.
• Previous experience working in a finance-focused technology role, such as quantitative risk technologist, financial software developer, or similar positions.

Preferred Qualifications:

• Experience with financial risk analysis and modeling, particularly in equity, credit, and FX markets.
• Familiarity with factor models and portfolio optimization techniques.
• Knowledge of distributed computing environments, NoSQL databases, and cloud computing.

If you are passionate about developing cutting-edge technology solutions for quantitative finance and risk management, we encourage you to apply and join our team of experts working on innovative financial systems.