Need Quant Developer / Analyst - Jersey City, NJ

  • Jersey City, NJ
  • Posted 2 hours ago | Updated 2 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

Quant
Linear Algebra
Statistics
Python

Job Details

Job Title: Quant Developer/ Analyst Location: Jersey City, NJ/ Pittsburgh, PA Hybrid Role (3 days onsite role) Duration: Long Term

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.

Regards,

Radiantze Inc

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