Quantitative Programmer

4 weeks ago

Jersey City, United States ESB Technologies Full time

Ideal world these profiles have true hands-on Quantitative Programmer experience with a Java background.

Location: Jersey City, Tampa, Dallas

Hybrid – 3 Days onsite

Overview: We are seeking a skilled Quantitative Programmer/Developer with expertise in Java programming and a strong understanding of Value at Risk (VAR) methodologies. The ideal candidate will possess a combination of quantitative analysis skills, programming proficiency, and a keen interest in financial risk management. You will be responsible for developing and implementing VAR models, conducting quantitative analysis, and collaborating with cross-functional teams to optimize risk management strategies.

Responsibilities:

  1. VAR Model Development: Design, develop, and maintain robust VAR models using Java programming language. Implement various statistical and mathematical techniques to accurately assess and quantify financial risk.
  2. Quantitative Analysis: Conduct thorough quantitative analysis to evaluate the effectiveness and reliability of VAR models. Identify areas for improvement and optimization to enhance risk management processes.
  3. Risk Assessment: Collaborate with risk management teams to assess the potential impact of market fluctuations and identify key risk factors. Utilize VAR models to measure and monitor the exposure of the organization to various types of risk.
  4. Software Development: Write clean, efficient, and maintainable code in Java to implement VAR models and related algorithms. Ensure code quality through rigorous testing and code reviews.
  5. Data Management: Manage and analyze large datasets to extract relevant information for VAR modeling purposes. Develop data preprocessing techniques to enhance the accuracy and reliability of VAR calculations.
  6. Documentation and Reporting: Document VAR model methodologies, assumptions, and results effectively. Prepare comprehensive reports and presentations to communicate findings and recommendations to stakeholders.
  7. Continuous Learning: Stay abreast of industry trends, best practices, and regulatory requirements related to financial risk management and VAR modeling. Continuously enhance knowledge and skills to drive innovation and improvement.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Finance, or a related field.
  • Strong proficiency in Java programming language with experience in software development.
  • Solid understanding of quantitative finance concepts, particularly Value at Risk (VAR) methodologies.
  • Experience with statistical analysis tools and libraries (e.g., R, Python, MATLAB) is a plus.
  • Familiarity with financial markets, products, and risk management principles.
  • Excellent analytical and problem-solving skills with a meticulous attention to detail.
  • Effective communication and collaboration abilities, with the capacity to work in a dynamic team environment.

Prior experience in financial services or risk management.

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