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Quant Developer / Analyst

Quant Developer / Analyst

TalenciaJersey City, NJ, United States
9 hours ago
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Job description

Job Title : Quant Developer / Analyst

Location : Jersey City, NJ | Pittsburgh, PA

Setting : Hybrid Role (3 days onsite role)

Type : Long Term Project | Permanent (FTE)

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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    Quant • Jersey City, NJ, United States

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