Geneva Trading
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Junior Quantitative Risk Developer
role at
Geneva Trading .
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Founded in 1999, Geneva Trading is a premier global principal trading firm with offices in Chicago, Dublin, and London. Our focus on trading excellence and technological innovation supports our proprietary trading platform and high standards of integrity, collaboration, and professional growth. 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 Design and maintain databases to ensure stability, reliability, and performance Demonstrate the ability to work independently and with colleagues 50% of time Monitor risk on a real-time basis, leveraging the monitoring and analysis framework to identify and communicate 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 trading activities Interpret and utilize quantitative results from risk reporting efforts and communicate these effectively Use sound judgment and decision-making, including challenging assumptions and enforcing 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 with extensive scripting and statistical analysis Maintain understanding of market trends and how they relate to current positioning/strategies EXPERIENCE Software development in R, Python, and SQL is required Modern practices such as Collective Code Ownership are preferred Experience developing dashboards in R 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 with optimization libraries and statistical packages CFA or CRM certifications are a plus Solid understanding of traditional financial markets or cryptocurrency is a plus Education BS Degree in Computer Science/Financial Engineering or comparable experience Base Salary Range: $80,000 - $130,000. The final salary determination will depend on the candidate's skills, experience, education, and qualifications. Beyond base pay, employees receive a competitive total rewards package including a discretionary bonus opportunity and a comprehensive benefits program. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Seniority level
Entry level Employment type
Full-time Job function
Finance and Sales We are not providing any non-essential job listings or referral prompts here.
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Junior Quantitative Risk Developer
role at
Geneva Trading .
Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below. Founded in 1999, Geneva Trading is a premier global principal trading firm with offices in Chicago, Dublin, and London. Our focus on trading excellence and technological innovation supports our proprietary trading platform and high standards of integrity, collaboration, and professional growth. 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 Design and maintain databases to ensure stability, reliability, and performance Demonstrate the ability to work independently and with colleagues 50% of time Monitor risk on a real-time basis, leveraging the monitoring and analysis framework to identify and communicate 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 trading activities Interpret and utilize quantitative results from risk reporting efforts and communicate these effectively Use sound judgment and decision-making, including challenging assumptions and enforcing 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 with extensive scripting and statistical analysis Maintain understanding of market trends and how they relate to current positioning/strategies EXPERIENCE Software development in R, Python, and SQL is required Modern practices such as Collective Code Ownership are preferred Experience developing dashboards in R 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 with optimization libraries and statistical packages CFA or CRM certifications are a plus Solid understanding of traditional financial markets or cryptocurrency is a plus Education BS Degree in Computer Science/Financial Engineering or comparable experience Base Salary Range: $80,000 - $130,000. The final salary determination will depend on the candidate's skills, experience, education, and qualifications. Beyond base pay, employees receive a competitive total rewards package including a discretionary bonus opportunity and a comprehensive benefits program. We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Seniority level
Entry level Employment type
Full-time Job function
Finance and Sales We are not providing any non-essential job listings or referral prompts here.
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