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Junior Quantitative Risk Developer

Geneva Trading
Junior Quantitative Risk Developer
Chicago, US
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Job Description

The Junior Quantitative Risk Developer will work with members of the Risk team to gather requirements, design, develop, document, and implement solutions that meet our risk management needs. The ideal candidate must be able to communicate effectively with fellow risk manager, traders, business leaders, and technology team members. This person will play a key role in updating and improving internal tools and code base.

**Responsibilities **

50% of time

  • Collaborate with the Risk team and other stakeholders to set specifications for new applications
  • Analyze, develop, test, and implement new solutions
  • Write high-quality source code, creating complete applications within deadlines
  • Maintain source code version history
  • Design creative prototypes according to specifications
  • Perform unit and integration testing before launch
  • Conduct functional and non-functional testing
  • Troubleshoot and debug applications
  • Evaluate existing applications to reprogram, update, and add new features
  • Develop technical documents and handbooks to accurately represent application design and code
  • Designing and maintaining databases to ensure their stability, reliability, and performance
  • Demonstrate the ability to work independently and with colleagues

**50% of time **

  • Monitor risk on a real time basis, leveraging our monitoring and analysis framework to identify and communicate important risk-related information to traders and management
  • Model, analyze, and optimize existing and new risk tools, such as VaR and stress tests
  • Develop and implement analytical risk models to provide insight into the firm’s various trading activities
  • Interpret and utilize quantitative results from risk reporting efforts and communicate these effectively
  • Use sound judgement and decision-making ability, including confidence to challenge assumptions and enforce risk limits
  • Work directly with traders and senior management on escalated risk issues
  • Engage with trading teams to understand and model their approach to risk
  • Perform risk and performance studies using SQL, Excel, and R/Python, often with extensive scripting and statistical analysis
  • Maintain ongoing understanding of trends and concerns in the markets and how they relate to current positioning/strategies


  • Software development in R, Python, and SQL are required
  • Modern practices such as Collective Code Ownership preferred
  • Experience developing dashboards in R, specifically with large-scale datasets and multiple database connections
  • Web framework experience is a plus

**Other Knowledge **

  • Experience using asynchronous/parallel concepts in Shiny or Python is highly preferred
  • A deep understanding of statistical methods and experience employing optimization libraries and statistical packages
  • CFA or CRM certifications are a plus
  • Solid understanding of traditional financial markets or cryptocurrency a plus


  • BS Degree in Computer Science/Financial Engineering or comparable experience
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