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Principal Front-Office Engineer

Job in Boston, Suffolk County, Massachusetts, 02116, USA
Listing for: Axelon Services Corporation
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Software Engineer, Python, Data Scientist
Salary/Wage Range or Industry Benchmark: 70 - 85 USD Hourly USD 70.00 85.00 HOUR
Job Description & How to Apply Below
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 Num Py.
  • 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, Sci Py, and cvxpy.
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