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Quantitative Modeling Jobs in Massachusetts (NOW HIRING)

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Performs quantitative research analysis and coordinates with other analysts, portfolio managers ... Employs financial models to develop solutions to financial problems or to assess the financial or ...

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Performs quantitative research analysis and coordinates with other analysts, portfolio managers ... Employs financial models to develop solutions to financial problems or to assess the financial or ...

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

The team's work includes risk modeling, portfolio construction analysis, the creation of smart beta ... The Role The Quantitative Taxable team within Quantitative Research group is responsible for ...

Quantitative Analyst

Boston, MA · On-site

$100K - $200K/yr

The team's work includes risk modeling, portfolio construction analysis, the creation of smart beta ... The Role The Quantitative Taxable team within Quantitative Research group is responsible for ...

FTR Analyst

Boston, MA · On-site

$180K - $200K/yr

Proficiency with programming tools & quantitative modeling analytics using Python and SQL or other analytical tools. Preferred: * Masters or PhD in Electrical Engineering, Economics, Mathematics ...

We develop the data, models, and research that help answer questions such as: * Which execution ... Quantitative Trading Research Conduct empirical research on trading behavior, market microstructure ...

Showing results 21-40

Quantitative Modeling information

See Massachusetts salary details

$107K

$185.4K

$283.4K

How much do quantitative modeling jobs pay per year?

As of Sep 3, 2026, the average yearly pay for quantitative modeling in Massachusetts is $185,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,900.00 and $217,300.00 per year, depending on experience, location, and employer.

What is a quantitative modeling?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are typical daily tasks and projects for someone in a quantitative modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What are the key skills and qualifications needed to thrive in the quantitative modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What does a quantitative modeler do?

A quantitative modeler develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making. They use programming languages like Python or R and tools such as Excel or specialized software, often working in finance, investment, or risk management environments.

What are the most commonly searched types of Quantitative Modeling jobs in Massachusetts?

The most popular types of Quantitative Modeling jobs in Massachusetts are:

Infographic showing various Quantitative Modeling job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Hybrid job distribution, with an average salary of $185,365 per year, or $89.1 per hour.

Senior Analyst/Associate, Quantitative Solutions - Liberty Mutual Investments

Liberty Mutual

Boston, MA • On-site

$100K - $215K/yr

Full-time

Re-posted 24 days ago


Liberty Mutual rating

8.7

Company rating: 8.7 out of 10

Based on 162 frontline employees who took The Breakroom Quiz

72nd of 315 rated insurance


Job description


Description

The Company

Come build on our integrated platform with industry-leading talent, world-class partners, and freedom to innovate.

Liberty Mutual Investments (LMI) is the investment firm for Liberty Mutual Group (Liberty). With deep expertise in fixed income, equity, and alternative strategies, LMI invests more than $100B of long-term capital globally, and has a team of nearly 300 investment, finance, and operations professionals located in Boston, MA, and New York, NY. LMI has a clear purpose: drive economic growth, build enduring businesses side-by-side with our partners, and generate superior risk-adjusted returns that secure Liberty’s promises.

LMI offers the best of both worlds — the look and feel of a boutique investment firm with the reputation and financial strength of a global leader. As the investment firm of a mutual with long-term capital, LMI has a single client mandate. This gives us the freedom to focus on what we do best.

Our portfolio spans a broad spectrum of public and private investments, and we are committed to expanding our capabilities and our toolkit in support of our mission. We invest across diverse asset classes, financial structures, and industries, including real estate, digital infrastructure, healthcare, renewable energy, and technology—with the aim of creating value and powering innovation. We pride ourselves on our extensive network of mutually beneficial partnerships, and we use our substantial influence, capital, and energy to drive towards a better future. #LMI

The Position:

LMI’s Quantitative Solutions team, part of the Global Strategy & Capital Allocation (GSCA) business unit, is seeking a highly motivated, entrepreneurial individual. The Quantitative Solutions team leads the General Account’s asset allocation and portfolio construction process, delivering advanced analytics, scenario analysis, and forward-looking insights to guide long-term, annual, and tactical investment decisions within regulatory, rating agency, and portfolio constraints.

Our broader team, GSCA, is the nerve center of LMI, responsible for developing tools and insights for designing business & investment strategy, deconstructing the macro/market narrative, informing top-down house views, and setting the asset allocation for the General Account (GA). GSCA functions as the Office of the Chief Investment Officer (CIO), influencing all aspects of the portfolio management process and ensuring that LMI delivers for its Liberty partners.

This role focuses on building and advancing the team's quantitative modeling and research capabilities across public and private asset classes. The successful candidate will develop models and analytical tools that deepen the team's understanding of return drivers, risk characteristics, and portfolio dynamics across the General Account's full investment universe. A distinctive feature of this role is the opportunity to work at the intersection of top-down asset allocation and bottom-up mandate execution, helping bridge the analytical gap between how the portfolio is designed and how it is managed. This is a research-oriented role suited to someone with genuine intellectual curiosity, strong quantitative foundations, and comfort working with the diverse and often incomplete data that characterizes institutional multi-asset portfolios.

Responsibilities:

  • Develop new and maintain existing quantitative models and analytical tools that support asset allocation and portfolio construction decisions under insurance, regulatory, and rating agency constraints
  • Produce scenario analysis, stress testing, and portfolio analytics to inform long-term, annual, and tactical allocation decisions
  • Contribute to the enhancements of existing and new quantitative models for public and private asset classes — including private equity, private credit, real assets, and infrastructure
  • Develop analytics that further enhance GSCA’s capabilities to monitor asset allocation execution through internal mandates
  • Support the development and integration of commitment pacing, cash flows, and NAV forecasting models that integrate private markets into the total portfolio construction and glidepath allocation modeling
  • Source, evaluate, and integrate private markets data from providers such as PitchBook, Preqin, Burgiss, and internal systems, building clean and reliable data pipelines and analytics
  • Participate in GSCA cross-team research projects across portfolio strategy and total portfolio management contributing to the team’s collective knowledge base and decision-making process
  • Partner with LMI Investment Business Units to institutionalize analytics and data
Qualifications

The position requires a Master’s degree in Financial Engineering, Statistics, Mathematics, Economics, Operations Research, or a related field plus 2+ years of experience in a quantitative research or related role. The ideal candidate must also bring the following qualifications:

  • Working knowledge of fixed income assets, public equities, and private markets, with exposure to private asset classes such as private credit, real assets, infrastructure, or private equity
  • Strong applied quantitative skills, including experience with simulation techniques, statistical modeling, time series analysis, and optimization, with the ability to build and maintain production-ready research tools
  • Demonstrated knowledge of private asset classes, including private equity, private credit, real assets, or infrastructure, with an understanding of fund structures, cash flow mechanics, performance metrics (IRR, MOIC, DPI, TVPI), and the challenges of working with private markets data
  • Understanding of how private assets integrate into a total portfolio context, including the interplay between illiquidity, commitment pacing, vintage diversification, and portfolio-level risk and return
  • Advanced programming and data skills in Python and SQL, with experience using version control (Git) and comfort working with large, messy, and non-standardized datasets typical of private markets
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 

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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