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Quant Developer​/Analyst

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-01-25
Job specializations:
  • Business
    Data Analyst, Data Scientist
Job Description & How to Apply Below
Position: Quant Developer/ Analyst

We are seeking a highly skilled Quant Developer/Analyst with strong expertise in quantitative analysis, programming, and financial products.

The role involves implementing analytics within risk and calculation engines to generate valuations, returns, and first-order risk measures.

Key Responsibilities
  • Simulation and Analysis:
    Conduct simulations using specialized tools to analyze product behavior under varying conditions.
  • Performance Evaluation:
    Assess factors such as load capacity, stability, and material resilience based on simulation results.
  • Design Optimization:
    Identify areas for improvement in product design by analyzing simulation data and recommending modifications.
  • Report Generation:
    Prepare detailed reports, calculations, and technical justifications based on simulation outcomes.
  • Collaboration:

    Work closely with cross‑functional teams to integrate simulation results into overall design processes.
  • Compliance:
    Ensure all calculations and analyses adhere to relevant industry standards and codes.
Tools and Technologies:
  • Simulation Software (e.g., CAESAR II, Pipestress)
  • CAD/CAE tools for modeling and analysis
  • Programming (Python) for scripting and automation
Required Qualifications
  • Strong knowledge of Linear Algebra, Statistics, and Time Series Analysis
  • Proficiency in Quantitative Analysis, Python, and Analytics
  • Experience implementing analytics in risk/calc engines for valuation and risk measures
  • Solid understanding of Equity and Fixed Income products, Exchange‑Traded Derivatives, Portfolio Analysis, Fund Accounting, and NAV Calculation
Preferred Qualifications
  • Familiarity with advanced simulation tools and financial modeling techniques
  • Experience in optimizing design processes using computational methods
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