ZipRecruiter

Log In

1

Backtesting Jobs in Massachusetts (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsBacktesting JobsBacktesting Jobs in Massachusetts

Backtesting information

What are the key skills and qualifications needed to thrive as a Backtesting Analyst, and why are they important?

To thrive as a Backtesting Analyst, you need a strong background in quantitative analysis, statistics, programming (typically in Python or R), and familiarity with financial markets, usually supported by a degree in mathematics, finance, or a related field. Proficiency with backtesting platforms (such as QuantConnect or Zipline), data analysis tools, and version control systems like Git is often required. Attention to detail, critical thinking, and strong problem-solving abilities are key soft skills that help ensure robust model evaluation and development. These skills are vital for accurately assessing trading strategies and minimizing risk in real-world financial applications.

What are some common challenges faced when backtesting trading strategies, and how can they be managed?

One common challenge in backtesting trading strategies is the risk of overfitting, where a model performs exceptionally well on historical data but fails in live markets. Data quality and availability can also pose issues, as incomplete or inaccurate data may skew results. To manage these challenges, it's important to use out-of-sample testing, robust data cleaning processes, and to validate strategies on multiple datasets. Collaborating with quantitative analysts and developers can also help ensure the backtesting process is thorough and reliable.

What is backtesting?

Backtesting is the process of evaluating a trading strategy or investment model by applying it to historical market data. This helps traders and analysts see how the strategy would have performed in the past, which can provide insights into its potential effectiveness and risks. While backtesting can help identify strengths and weaknesses, it's important to remember that past performance is not always indicative of future results. The reliability of backtesting depends on data quality, strategy design, and how well it simulates real trading conditions.

What is the difference between Backtesting vs Quantitative Analyst?

AspectBacktestingQuantitative Analyst
Primary RoleTesting trading strategies using historical dataDeveloping and implementing quantitative models for investment decisions
Required SkillsData analysis, programming, finance knowledgeMathematics, programming, financial theory
Work EnvironmentTrading firms, hedge funds, financial institutionsAsset management firms, hedge funds, banks
CertificationsOften none required, but CFA or CQF helpfulCFA, CQF, or advanced degrees common

Backtesting focuses on evaluating trading strategies with historical data, while a Quantitative Analyst develops models to inform investment decisions. Both roles require strong analytical skills and finance knowledge but differ in scope and responsibilities.

What are popular job titles related to Backtesting jobs in Massachusetts? For Backtesting jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Backtesting jobs in Massachusetts look for? The top searched job categories for Backtesting jobs in Massachusetts are:
What cities in Massachusetts are hiring for Backtesting jobs? Cities in Massachusetts with the most Backtesting job openings:
Backtesting jobs near you

Lead Software Engineer

Wellington Management

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

About Us

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

About the Role

TITLE: Lead Software Engineer, Investment Platform Technology

TEAM: Solutions Technology

LOCATION: Boston

...........................................................................................................................................................................................................................................................

Tracing our roots to 1928, we are one of the world's largest independent investment management firms. With over US$1.3 trillion in assets under management, we serve as trusted advisers to institutional clients and mutual fund sponsors in more than 50 countries.

Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies.

As a private partnership whose sole business is investment management, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce and fostering an open, collaborative culture of inclusivity because we believe multiple perspectives lead to more informed investment and business decisions.

At Wellington Management, our appetite for technology is insatiable. We recognize that the world is full of fascinating questions that will impact the future of companies, economies, financial markets, and entire industries. We want you to help us find answers to these questions by building and evolving our innovative, industry-leading technology platform. As technology needs advance, this complexity requires a highly sophisticated, well-managed platform built by people like you. This is your chance to build something incredible. This position is within our Information Technology team.

JOB OVERVIEW

We are seeking a Software Engineer embedded directly within our Quantitative Investment Group to serve as a handson technical partner to Portfolio Managers and Quantitative Researchers. This role will work primarily in Python and C#, supporting the full lifecycle of systematic investment workflows-from research enablement and data integration to platform development and firmwide integration.

This is not a traditional support or centralized platform role. The successful candidate will help in the design, implementation, and evolution of QIG's quantitative portfolio and research infrastructure, translating portfolio construction, optimization, and risk research into scalable, productiongrade systems while aligning with broader firmwide technology initiatives.

RESPONSIBILITIES

Quantitative Research & Portfolio Enablement

  • Partner closely with Portfolio Managers and Quantitative Researchers to understand research workflows and investment objectives.
  • Design and implement software that supports systematic portfolio construction, optimization, rebalancing, and risk analytics across equity and credit strategies.
  • Enable rapid research iteration while ensuring a clear and deliberate path to productionquality implementations.
  • Help ensure consistency and rigor between research prototypes and live portfolio implementation, reducing model and operational risk.

Quantitative Platform Modernization

  • Support the migration and standardization of systematic models onto nextgeneration quantitative frameworks, improving scalability, performance, and reproducibility.
  • Build and maintain shared timeseries and factor data services that streamline factor timing, regime analysis, and model execution.
  • Partner with researchers to evolve domain abstractions (e.g., securities, regions, model concepts, regimes) into durable, welldesigned software components.
  • Enable seamless interoperability between legacy research environments and modern Python and C#based platforms, minimizing friction as technologies evolve.

Data & Integration

  • Support acquisition, ingestion, and integration of new internal and thirdparty datasets required for quantitative research.
  • Design data access patterns that support timeseries correctness, backtesting accuracy, and pointintime analysis.
  • Collaborate with enterprise data and platform teams to align with firmwide data standards while preserving QIG's research velocity.

Infrastructure, DevOps & Firmwide Alignment

  • Partner with platform and DevOps teams to spin up and evolve research and production environments as needed.
  • Contribute to CI/CD, environment standardization, and operational best practices.
  • Act as a bridge between QIG and broader Technology teams, ensuring architectural, security, and strategic alignment.
  • Basic Linus & Windows system administration

Collaboration & Engineering Excellence

  • Participate in design discussions, code reviews, and technical standardssetting.
  • Author clear technical documentation for both researchers and technologists.
  • Contribute to a collaborative culture that values correctness, transparency, and continuous improvement.
Required Skills & Experience

Technical Skills

  • Strong professional experience with Python for dataintensive or analytical applications.
  • Solid experience with C# and building maintainable, productiongrade software.
  • Strong software engineering fundamentals: version control (Git), testing, documentation, logging, and code reviews.
  • Experience designing APIs, services, or shared libraries used by multiple consumers.
  • Experience with AWS, Azure or other cloud environments
  • Experience with Microsoft SQL Server

Quantitative & Data Context

  • Experience working with large, complex datasets and analytical workflows.
  • Familiarity with timeseries data, numerical computation, and data modeling concepts.
  • Interest in, or exposure to, systematic investment or researchdriven environments.

Ways of Working

  • Comfortable operating in an embedded model with frequent, direct interaction with researchers and Portfolio Managers.
  • Able to balance rapid iteration with longterm maintainability and platform thinking.
  • Strong communication skills and the ability to translate abstract concepts into robust technology.

Experience & Education

  • 5-10 years of professional experience as a software engineer, quantitative developer, or similar role.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent professional experience.

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry.We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:

USD 90,000 - 180,000

This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.

Base salaryis only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence,paid holidays, volunteer, sick and vacation time)

We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.

Apply