Home › Companies › Careers Libertymutual Icims Com › Principal Front Office Engineer, Multi-Asset Risk Solutions - Investments Technology
Principal Front Office Engineer, Multi-Asset Risk Solutions - Investments Technology
Careers Libertymutual Icims Com · Boston, MA, US · Hybrid · Active · $100 / week · iCIMS
Job facts
| Field | Value |
|---|---|
| Company | Careers Libertymutual Icims Com |
| Title | Principal Front Office Engineer, Multi-Asset Risk Solutions - Investments Technology |
| Normalized title | - |
| Department / team | - |
| Location | Boston, MA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $100 / week |
| Status | active |
| ATS provider | iCIMS |
| Posted / first seen | 2024-06-06 / 2026-05-31 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Careers Libertymutual Icims Com. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through iCIMS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Boston. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Careers Libertymutual Icims Com |
| Source | 92f2d631-810b-47c1-a0fe-d2b2875431a5 |
| ATS provider | iCIMS |
Description
Description
Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company.
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 the Risk team , driving design and implementation of small-scale applications and proof of concepts that will improve risk analysis, develop AI-enabled workflows, and enhance reporting systems & processes.
You will work closely with risk analysts and investment teams, but your primary focus will be building robust systems and tools that power risk infrastructure, analytics, and decision-ready 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 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 (3 days per week in office).
Qualifications
• 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.
• Experience using Agentic Programming tools (Github Copilot, Claude) required.
• Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools.
• Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, 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, methods, statistics and econometrics
Qualifications
Excellent problem-solving skills, with the ability to think critically, independently
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/investments and risk
Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics
Knowledge
In-depth knowledge of diverse and emerging technologies, architectural concepts and principles
A deep understanding of layered solutions and designs
Awareness of policies regarding security and privacy
Understanding of backlog tracking, burndown metrics and incremental delivery
Education
A Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices
California
Los Angeles Incorporated
Los Angeles Unincorporated
Philadelphia
San Francisco
Full job record
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| Org ID | 5c3ea02d-1821-4810-9eba-fd55147d66c8 |
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| Board ID | 92f2d631-810b-47c1-a0fe-d2b2875431a5 |
| Provider | icims |
| Provider Job Key | 74952 |
| Title | Principal Front Office Engineer, Multi-Asset Risk Solutions - Investments Technology |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Boston, MA, US |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | MA |
| City | Boston |
| Salary Raw | Description Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company. 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 the Risk team , driving design and implementation of small-scale applications and proof of concepts that will improve risk analysis, develop AI-enabled workflows, and enhance reporting systems & processes. You will work closely with risk analysts and investment teams, but your primary focus will be building robust systems and tools that power risk infrastructure, analytics, and decision-ready 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 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 (3 days per week in office). Qualifications • 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. • Experience using Agentic Programming tools (Github Copilot, Claude) required. • Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools. • Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, 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, methods, statistics and econometrics Qualifications Excellent problem-solving skills, with the ability to think critically, independently 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/investments and risk Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics Knowledge In-depth knowledge of diverse and emerging technologies, architectural concepts and principles A deep understanding of layered solutions and designs Awareness of policies regarding security and privacy Understanding of backlog tracking, burndown metrics and incremental delivery Education A Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco |
| Salary Min | 100 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | week |
| Source URL | https://careers-libertymutual.icims.com/jobs/74952/principal-front-office-engineer%2c-multi-asset-risk-solutions---investments-technology/job |
| Apply URL | https://careers-libertymutual.icims.com/jobs/74952/principal-front-office-engineer%2c-multi-asset-risk-solutions---investments-technology/job |
| First Seen At | 2026-05-31 18:43:31Z |
| Last Seen At | 2026-06-06 08:29:49Z |
| Last Checked At | 2026-06-06 08:29:49Z |
| Last Changed At | 2026-06-06 08:29:49Z |
| Inactive At | — |
| Source Posted At | 2024-06-06 08:29:48Z |
| Source Updated At | 2026-04-13 11:57:39Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-libertymutual.icims.com/date=2026-06-06/2026-06-06T08-29-38-309Z-c7f63cb5828d984324a25fc2a5bb12f62307125afc7ffa4c45deb28336f33806.json |
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"description": "<h2>Description</h2>\n<p>Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company.</p>\n<p> </p>\n<p>We are seeking a highly skilled and motivated <strong>Principal Front-Office Engineer </strong>to join our prestigious investment firm. As a Principal Front-Office Engineer, you will serve as the <strong>technical lead embedded within the Risk team</strong>, driving design and implementation of small-scale applications and proof of concepts that will improve risk analysis, develop AI-enabled workflows, and enhance reporting systems & processes.</p>\n<p> </p>\n<p>You will work closely with risk analysts and investment teams, but your primary focus will be <strong>building robust systems and tools </strong>that power risk infrastructure, analytics, and decision-ready reporting. We’re looking for a <strong>hands-on software architect and builder</strong> who has experience designing systems, rapidly iterating over them and delivering them across the finish line.</p>\n<p> </p>\n<p>This role is ideal for a <strong>Lead or Senior Engineer who thrives as an individual contributor</strong> and wants to drive technical direction without moving into management.</p>\n<p> </p>\n<p><strong>Note: This Boston-based role has a hybrid work arrangement (3 days per week in office).</strong></p>\n<p><strong> </strong></p>\n<p><strong>Qualifications</strong></p>\n<p>• Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal handholding.</p>\n<p>• Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders.</p>\n<p>• Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment.</p>\n<p>• Full-stack development knowledge with a <strong>minimum of 5 years professional experience programming in Python</strong> demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets.</p>\n<p>• Experience with key <strong>Python Libraries (pandas, NumPy)</strong> required</p>\n<p>• Experience in <strong>front-end development and user experience (UX) design</strong> required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred.</p>\n<p>• Experience using Version Control (Git) required.</p>\n<p>• Experience using Agentic Programming tools (Github Copilot, Claude) required.</p>\n<p>• Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools.</p>\n<p>• <strong>Strong SQL skills required</strong> with a familiarity of financial data platforms (such as Bloomberg, FactSet, 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.</p>\n<p>• Solid understanding of financial markets and multi-asset investment risk domain.</p>\n<p>• Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics</p>\n<h2>Qualifications</h2>\n<ul>\n <li>Excellent problem-solving skills, with the ability to think critically, independently</li>\n <li>Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders.</li>\n <li>Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment.</li>\n <li>Full-stack development knowledge with a <strong>minimum of 5 years professional experience programming in Python</strong> demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets.</li>\n <li>Experience with key <strong>Python Libraries (pandas, NumPy)</strong> required</li>\n <li>Experience in <strong>front-end development and user experience (UX) design</strong> required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred.</li>\n <li>Experience using Version Control (Git) required.</li>\n <li>Proven ability to design, build, and scale application systems in data-rich environments.</li>\n <li><strong>Strong SQL skills required</strong> 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.</li>\n <li>Solid understanding of financial markets/investments and risk</li>\n <li>Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics</li>\n</ul>\n<p>Knowledge</p>\n<ul>\n <li>In-depth knowledge of diverse and emerging technologies, architectural concepts and principles</li>\n <li>A deep understanding of layered solutions and designs</li>\n <li>Awareness of policies regarding security and privacy</li>\n <li>Understanding of backlog tracking, burndown metrics and incremental delivery</li>\n</ul>\n<p>Education </p>\n<ul>\n <li>A Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience </li>\n</ul>\n<h2>About Us</h2>\n<p><strong>Pay Philosophy:</strong> The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. </p>\n<p> </p>\n<p>At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. 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