As a Quantitative Developer, you will leverage your software development expertise and interest in quantitative research to enhance our firm's capabilities in monitoring and managing market risk across diverse business areas. Key areas of focus include instrument modeling, risk measurement, and empirical research. This role demands agility to swiftly address new business challenges while strategically organizing and implementing data, compute, visualization, and decision-making workflows at scale.
We are seeking a candidate who is passionate about agile software development, eager to learn and implement quantitative methodologies through coding, and comfortable challenging the status quo with a humble and clear communication style. If you're enthusiastic about expanding your understanding of financial markets while continuing to develop your quantitative and software development skills, we'd love to hear from you!
Key Responsibilities:
- Develop and optimize software to support risk management and modeling.
- Collaborate closely with quantitative researchers to implement research-driven solutions.
- Design and deploy scalable systems for data processing and analysis.
- Support the development of visualization and decision-making tools for trading and risk management.
Skills You'll Need:
- Strong programming skills in Python, including familiarity with libraries like Pandas, NumPy, and SciPy.
- Hands-on experience working with data, both daily and intraday.
- Direct experience with at least one financial asset class.
- Knowledge of CI/CD frameworks.
- Strong written and verbal communication skills, with an ability to explain complex concepts simply.
- Dependable availability and ability to work independently on projects.
- Proven ability to learn new concepts and technologies quickly while on the job.
Bonus Points:
- Experience developing in a distributed Linux environment.
- Knowledge of financial instrument modeling or empirical research.
- Familiarity with lightweight web frameworks and data visualization tools (e.g., Flask, Dash, Plotly).
- Experience with C++.
