Dash Job - Principal Front Office Engineer - Liberty Mutual

Dash Python
1

:mega: Plotly Dash Skills: Required experience with Pythonic front-end and data visualization libraries (Plotly, Dash).

Company: Liberty Mutual

Title: Principal Front Office Engineer

Category: Full time

Location: Boston

Experience: Mid-level

Application: Link to apply

@OpenToWork

Full Job Description

Description

  • We are seeking a highly skilled and motivated Principal Front-Office Engineer to join our prestigious investment firm. As a Principal Front-Office Engineer, you will serve as the technical lead embedded within a Private Equity and Private Credit investment team, driving design and implementation of small-scale applications and proof of concepts that will improve market analysis, develop investment strategies, and enhance decision-making processes.
  • You will partner directly with portfolio analysts and traders, but your primary focus will be building robust systems and tools that power investment decisions. 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 Lead 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 (2 days per week in office).

Qualifications

Hiqhly qualified candidates will have:

  • Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal handholding.
  • Effective communication skills, with the ability to clearly articulate complex ideas 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 professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets.
  • Experience with key Python Libraries (pandas, NumPy) required
  • Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred.
  • Experience using Version Control (Git) required.
  • Proven ability to design, build, and scale application systems in data-rich environments.
  • Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront), 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 willingness to learn the Private Equity and Private Credit domains.
  • Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics