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 reflects the competitive market value across the nation and offers opportunities for growth within the role. Some roles may include additional compensation such as commissions or bonuses, which vary based on specific plans. We are seeking a highly skilled and motivated Principal Embedded Tactical Engineer with expertise in Fixed Income, Private Credit, Private Equity, and/or Investment Risk to join our esteemed investment firm. This role involves embedding directly within an investment team to develop, implement, and deploy small-scale applications, proofs of concept, and prototypes to enhance market analysis, investment strategies, and decision-making processes. Note: This Boston-based role has a hybrid work arrangement (2 days in the office per week). Highly qualified candidates will have: Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal supervision. Effective communication skills to clearly articulate complex ideas to both technical and non-technical stakeholders. Strong attention to detail, organization, and multitasking abilities in a fast-paced environment. Full-stack development experience with at least 5 years programming in Python, demonstrating the ability to write efficient, robust code for large financial datasets. Proficiency with key Python libraries (pandas, NumPy) and version control (Git). Strong SQL skills and familiarity with financial data platforms (e.g., Bloomberg, FactSet, Aladdin, eFront). Experience with statistical and time-series analysis using Python libraries such as Scikit-Learn, SciPy, cvxpy is preferred. Practical experience in developing and maintaining models, tools, and reports with a deep understanding of quantitative techniques, statistics, and econometrics. A solid understanding of financial markets, investment instruments, portfolio construction, performance attribution, and investment strategies. Qualifications: Full-stack development experience with a minimum of 5 years programming in Python. Experience with pandas, NumPy, and Git. Strong SQL skills and familiarity with financial data platforms. Knowledge of statistical and time-series analysis libraries is a plus. Experience in developing financial models, tools, and reports. Understanding of financial markets and investment instruments. Excellent problem-solving, communication, and organizational skills. Education Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience. About Us Liberty Mutual is committed to fostering an inclusive environment where employees can build meaningful careers. We value diversity, offer comprehensive benefits, and support continuous learning. We believe progress happens when people feel secure and supported. Our ERGs promote community and engagement. We prioritize your well-being and career growth. Learn more about our benefits at https://LMI.co/Benefits . Liberty Mutual is an equal opportunity employer. We do not tolerate discrimination based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran status, pregnancy, genetic information, or any other protected basis by law. Fair Chance Notices: California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco

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