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IT Principal Front-Office Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Creative Solutions Services, LLC
Full Time position
Listed on 2026-06-19
Job specializations:
  • Software Development
    Python
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Summary:

  • Location: Boston, MA
  • Work Mode: Hybrid
Responsibilities:
  • Serve as the technical lead embedded within the Risk team.
  • Drive design and implementation of small-scale applications and proof of concepts to improve risk analysis, develop AI-enabled workflows, and enhance reporting systems and processes.
  • Work closely with risk analysts and investment teams to build robust systems and tools that power risk infrastructure, analytics, and decision-ready reporting.
  • Design systems, rapidly iterate over them, and deliver them across the finish line.
Requirements:
  • Excellent problem-solving skills with the ability to think critically and independently.
  • Effective communication skills to articulate complex ideas to both technical and non-technical stakeholders.
  • Strong attention to detail and ability to manage multiple tasks in a fast-paced environment.
  • Full-stack development knowledge with a minimum of 5 years of professional experience programming in Python.
  • Experience with key Python Libraries (pandas, Num Py).
  • Experience in front-end development and user experience (UX) design.
  • Experience using Version Control (Git).
  • Experience using Agentic Programming tools (Github Copilot, Claude).
  • Proven ability to design, build, and scale application systems in data-rich environments.
  • Strong SQL skills.
  • Solid understanding of financial markets and multi-asset investment risk domain.
  • Practical experience in developing and maintaining models, tools, and reports.
Preferred

Skills:

  • Experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash).
  • Familiarity with financial data platforms (such as Bloomberg, Fact Set, Aladdin, eFront, Moodys).
  • Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, Sci Py, cvxpy).
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