Plotly Dash Skills: Experience with Pythonic front-end and data visualization libraries like Plotly and Dash.
Company: Axelon
Title: Principal Front-Office Engineer
Category: Per hour
Location: Boston, MA, USA
Experience: Senior level
Application: Link to apply
Collaborate closely with risk analysts and investment teams to build robust systems and tools for risk infrastructure and analytics. Serve as the technical lead within the Risk team, focusing on design and implementation of small-scale applications and proof of concepts.
Description
**Pay Rate: $70-$85 per hour
Location: Boston, MA
Work Mode: Hybrid**
Responsibilities:
- Serve as the technical lead within the Risk team, focusing on design and implementation of small-scale applications and proof of concepts.
- Develop AI-enabled workflows and enhance reporting systems and processes.
- Collaborate closely with risk analysts and investment teams to build robust systems and tools for risk infrastructure and analytics.
- Drive technical direction as a hands-on software architect and builder.
Requirements:
- Excellent problem-solving skills with the ability to think critically and act independently.
- Effective communication skills to articulate complex ideas to both technical and non-technical stakeholders.
- Strong attention to detail and organization, with the ability to manage multiple tasks in a fast-paced environment.
- Full-stack development knowledge with a minimum of 5 years of professional experience in Python.
- Experience with key Python libraries such as pandas and NumPy.
- Proven ability to design, build, and scale application systems in data-rich environments.
- Strong SQL skills with familiarity with financial data platforms and databases.
- Solid understanding of financial markets and multi-asset investment risk domain.
- Practical experience in developing models, tools, and reports using quantitative techniques.
Preferred Skills:
- Experience in front-end development and user experience (UX) design.
- Experience with Pythonic front-end and data visualization libraries like Plotly and Dash.
- Experience using Version Control (Git).
- Experience using Agentic Programming tools such as Github Copilot and Claude.
- Experience with statistical and time-series data analysis using libraries like Scikit-Learn, SciPy, and cvxpy.