1872 Consulting
Financial Engineer
Chicago, IL, Dallas, TX OR Jersey City, NJ
Hybrid – onsite 2‑3 days per week, WFH 2‑3 days per week
Position Summary: This role is open with a financial services company, who is currently engaged in building new cutting‑edge risk systems. The Financial Engineer will assist in backtesting, software verification, and the independent implementation of new flagship Risk Systems. The role will include the application of statistical and data analytic techniques to market and financial risk data.
Responsibilities:
Verify accuracy and reliability of the software implementation of the model
Implement complex independent tests to validate the implementation of risk systems
Implement risk analysis tools, such as back testing tools, to support ongoing monitoring
Implement repeatable back testing suites for both new and existing models
Implement independent models to benchmark production models
Assess the quality of input and output data as well as parameters for the risk systems as well as between components of the risk systems
Document testing activities
Communicate with Model Risk Management and other departments about issues and concerns
Create logical and innovative solutions to complex problems
Complete all activities in accordance with strict business timelines
Requirements:
3+ years of experience doing fintech or financial services development
Development experience in Java, R, C#, C++, C, or Python
Previous experience with SQL databases, MS SQL Server Management Studio, and/or Squirrel
Nice to have:
Exposure to options valuation theory and options markets
Experience with Risk Management
Degree in mathematical finance, econometrics, mathematics, statistics, physics, or engineering
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Hybrid – onsite 2‑3 days per week, WFH 2‑3 days per week
Position Summary: This role is open with a financial services company, who is currently engaged in building new cutting‑edge risk systems. The Financial Engineer will assist in backtesting, software verification, and the independent implementation of new flagship Risk Systems. The role will include the application of statistical and data analytic techniques to market and financial risk data.
Responsibilities:
Verify accuracy and reliability of the software implementation of the model
Implement complex independent tests to validate the implementation of risk systems
Implement risk analysis tools, such as back testing tools, to support ongoing monitoring
Implement repeatable back testing suites for both new and existing models
Implement independent models to benchmark production models
Assess the quality of input and output data as well as parameters for the risk systems as well as between components of the risk systems
Document testing activities
Communicate with Model Risk Management and other departments about issues and concerns
Create logical and innovative solutions to complex problems
Complete all activities in accordance with strict business timelines
Requirements:
3+ years of experience doing fintech or financial services development
Development experience in Java, R, C#, C++, C, or Python
Previous experience with SQL databases, MS SQL Server Management Studio, and/or Squirrel
Nice to have:
Exposure to options valuation theory and options markets
Experience with Risk Management
Degree in mathematical finance, econometrics, mathematics, statistics, physics, or engineering
#J-18808-Ljbffr