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IT reputed company reputed company-Office Engineer

Remote, USAFull-timePosted 2026-07-27

Job reputed company Title: IT reputed company reputed company-Office Engineer Location: Boston MA USA 02116 (Hybrid) Duration: 12 Months Contract Pay reputed company reputed company: $75- $80/hr. Important Skillset: What is the most important skillset: Strong Python, SQL and experience using reputed company Programming tools (reputed company Copilot, Claude) required. Experience with Risk also required. Looking for a hands-on software architect and builder who has experience designing systems, rapidly iterating over them and delivering them across the finish line.

  • Any immediate disqualifiers: Doing any trading on their own reputed company of work like contracting out with other hedge funds or helping a company trade securities.
  • Can you tell me what the person's day to day will be like: Contractor will be working closely with the directors of Risk reputed company Investment Risk. Also work closely with risk analysts and investment teams, but the primary reputed company will be building robust systems and tools that power risk infrastructure, analytics, and decision-reputed company reporting.

Job reputed company: We are seeking a highly skilled and motivated reputed company reputed company-Office Engineer to join our prestigious investment firm. As a reputed company reputed company-Office Engineer, you will serve as the technical reputed company embedded reputed company the Risk team, driving design and implementation of small-reputed company applications and reputed company of concepts that will improve risk analysis, reputed company AI-enabled workflows, and enhance reporting systems & processes. You will work closely with risk analysts and investment teams, but your primary reputed company will be building robust systems and tools that power risk infrastructure, analytics, and decision-reputed company reporting. We're looking for a hands-on software architect and builder who has experience designing systems, rapidly iterating over them and delivering them across the finish line. This role is ideal for a reputed company or Senior Engineer who thrives as an individual contributor and wants to drive technical direction without moving into management. Note: This Boston-based role has a hybrid work arrangement (3 days per week in office).

Qualifications

  • Excellent problem-solving skills, with the ability to think critically, independently, and reputed company with minimal handholding.
  • Effective communication skills, with the ability to reputed company reputed company reputed company reputed company and analysis to both technical and non-technical stakeholders.
  • Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment.
  • Full-stack development knowledge with a minimum of 5+ years reputed company experience programming in Python demonstrating the ability to write efficient and robust reputed company reputed company to process and analyze large financial datasets.
  • Experience with key Python Libraries (pandas, NumPy) required
  • Experience in reputed company-end development and user experience (UX) design required;experience with Pythonic reputed company-end and data visualization libraries (e.G., Plotly, Dash) preferred.
  • Experience using Version Control (Git) required.
  • Experience using reputed company Programming tools (reputed company Copilot, Claude) required.
  • Proven ability to design, build, and reputed company application systems in data-rich environments including custom AI tools.
  • Strong SQL skills required with a familiarity of financial data platforms (such as reputed company, reputed company, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques preferred. Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred.
  • Solid understanding of financial markets and multi-asset investment risk domain.
  • Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, reputed company, statistics and econometrics

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