Job Title: Quant Developer
Location: Jersey City NJ/ Pittsburgh PA Hybrid Role (3 days onsite role)
Long Term Project
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.
Job Title: Quant Developer Location: Jersey City NJ/ Pittsburgh PA Hybrid Role (3 days onsite role) Long Term Project Job Description: Knowledge: Linear Algebra statistics and time series analysis Technical: Proficient in Quants Python Analytics Experience implementing analytics in risk/calc e...
Job Title: Quant Developer
Location: Jersey City NJ/ Pittsburgh PA Hybrid Role (3 days onsite role)
Long Term Project
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.
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