Junior Quantitative Risk Developer
Found in: Jooble US O C2 - 2 weeks ago
- 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
- 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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Manager Quantitative Risk Development
Found in: Careerbuilder One Red US C2 - 3 weeks ago
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Junior Quantitative Risk Analyst
Found in: beBee jobs US - 1 day ago
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Junior Quantitative Risk Developer
Found in: beBee S US - 3 weeks ago
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Senior Quantitative Risk Analyst
Found in: beBee S US - 3 weeks ago
Chicago, United States Geneva Trading Full timeFounded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets....
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Manager, Quantitative Risk Modeling
Found in: Appcast US C2 - 2 weeks ago
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Found in: Appcast Linkedin GBL C2 - 2 weeks ago
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Found in: Jooble US O C2 - 2 weeks ago
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Found in: Jooble US O C2 - 3 weeks ago
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Found in: Jooble US O C2 - 3 weeks ago
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Found in: Appcast Linkedin GBL C2 - 1 week ago
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Found in: beBee S US - 2 weeks ago
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Found in: beBee jobs US - 4 days ago
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Quantitative Developer
3 weeks ago
Chicago, United States C2R Ventures Full timeElite Buy-side firm seeking a Quant Developer to partner directly with quantitative researchers to understand their priorities in order to design/implement software to meet their needs. You will have a highly visible role in a group resposible for enhaning the effectiveness of quants by building an efficient research environment that works with a wide...