Compunnel
Job Summary
We are seeking a highly skilled Quantitative Developer with strong expertise in computational methods, analytics, and financial modeling.
This role involves implementing analytics in risk and calculation engines to generate valuation, return, and first-order risk measures.
The ideal candidate will have a solid foundation in linear algebra, statistics, and time series analysis, along with hands-on experience in Python, Java, and SQL.
Key Responsibilities Implement analytics in risk and calculation engines to support valuation and risk measurement. Conduct simulations and performance analysis using computational tools. Evaluate product behavior under various conditions including load, stress, and service life. Optimize design and performance through simulation data and technical analysis. Collaborate with cross-functional teams to integrate simulation results into broader design and development processes. Prepare detailed reports and technical documentation based on simulation and analysis outcomes. Ensure compliance with industry standards and codes in all calculations and evaluations. Support portfolio analysis, fund accounting, and NAV calculation processes. Apply domain knowledge in equity, fixed income, and exchange-traded derivatives. Required Qualifications
Strong knowledge of linear algebra, statistics, and time series analysis. Proficiency in Python, Java, and SQL. Experience implementing analytics in risk/calc engines. Understanding of equity and fixed income products, exchange-traded derivatives, and portfolio analysis. Familiarity with fund accounting and NAV calculation. Ability to work with simulation software and computational tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications
Experience in the automotive, trucking, or manufacturing industries. Familiarity with CAD/CAE tools and scripting for automation. Exposure to simulation platforms such as CAESAR II or Pipestress. Knowledge of API development and integration. Experience with complex systems and analytical problem-solving.
Education:
Bachelors Degree
We are seeking a highly skilled Quantitative Developer with strong expertise in computational methods, analytics, and financial modeling.
This role involves implementing analytics in risk and calculation engines to generate valuation, return, and first-order risk measures.
The ideal candidate will have a solid foundation in linear algebra, statistics, and time series analysis, along with hands-on experience in Python, Java, and SQL.
Key Responsibilities Implement analytics in risk and calculation engines to support valuation and risk measurement. Conduct simulations and performance analysis using computational tools. Evaluate product behavior under various conditions including load, stress, and service life. Optimize design and performance through simulation data and technical analysis. Collaborate with cross-functional teams to integrate simulation results into broader design and development processes. Prepare detailed reports and technical documentation based on simulation and analysis outcomes. Ensure compliance with industry standards and codes in all calculations and evaluations. Support portfolio analysis, fund accounting, and NAV calculation processes. Apply domain knowledge in equity, fixed income, and exchange-traded derivatives. Required Qualifications
Strong knowledge of linear algebra, statistics, and time series analysis. Proficiency in Python, Java, and SQL. Experience implementing analytics in risk/calc engines. Understanding of equity and fixed income products, exchange-traded derivatives, and portfolio analysis. Familiarity with fund accounting and NAV calculation. Ability to work with simulation software and computational tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Preferred Qualifications
Experience in the automotive, trucking, or manufacturing industries. Familiarity with CAD/CAE tools and scripting for automation. Exposure to simulation platforms such as CAESAR II or Pipestress. Knowledge of API development and integration. Experience with complex systems and analytical problem-solving.
Education:
Bachelors Degree