Job Title: Sr. Python Developer with Market Risk Experience
Location: New York City, NY/ Jersey City, NJ - 4 Days onsite role
Job Description:
• Knowledge: Linear Algebra, statistics, and time series analysis
• Technical: Proficient in Quants, Python, Analytics
• Experience implementing analytics in risk/calc engine to generate valuation, return and 1st order risk measures.
• Good understanding of equity and fixed income products, Exchange traded derivates, portfolio analysis, fund accounting, and NAV calculation.
Key Responsibilities:
• Simulation and Analysis: Conducting simulations using specialized software to analyze product behavior under different conditions.
• Performance Evaluation: Assessing factors like load capacity, stability, and material resilience based on simulation results.
• Design Optimization: Identifying areas for improvement in product design by analyzing simulation data and suggesting modifications.
• Report Generation: Preparing detailed reports, calculations, and technical justifications based on simulation results.
• Collaboration: Working closely with other engineering disciplines (e.g., mechanical, civil, process) to integrate simulation results into the overall design process.
• Compliance: Ensuring calculations and analyses adhere to relevant industry standards and codes.
• Tools and Technologies:
• Simulation Software: Often utilizes specialized software like CAESAR II, Pipestress, or similar tools for specific engineering domains.
• CAD/CAE: May use computer-aided design (CAD) and computer-aided engineering (CAE) software for modeling and analysis.
• Programming: May involve programming skills (e.g., Python) for scripting and automating calculations.
• In essence, Calculation Engineers bridge the gap between theoretical design and practical application by using computational methods to predict and optimize the performance of engineered systems.
