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

EXPERIENCE:

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

Education

BS Degree in Computer Science/Financial Engineering or comparable experience