Job Title
Quantitative Programmer (Java)
C/CTH/Perm + Duration
EOY
Start date & Location
Location: Jersey City, Tampa, Dallas
Remote? Return Post COVID? Hours (Time Zone)?
Hybrid - 3 Days onsite
Interview Process
This is a video-on interview and ensure candidates join 5 minutes prior the interview time.
Position Notes
Client Detail (What does the company do? Recent history? Website? Parent Company? Size of Company?)
Our client is a financial services company that provides clearing, settlement, custody, and risk management services for securities transactions. It acts as a central clearinghouse, manages assets, reduces counterparty risk, facilitates trade reporting, and operates technology platforms for efficient processing. Its role is to ensure the smooth functioning of securities markets and enhance transparency in the financial system.
Job Order (Why might someone want to work here?)
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
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.
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.
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.
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.
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.
Documentation and Reporting: Document VAR model methodologies, assumptions, and results effectively. Prepare comprehensive reports and presentations to communicate findings and recommendations to stakeholders.
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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