Develop tools for backtesting, execution, and transaction cost modeling * Partner with PMs and researchers on cash equities, futures, options, credit and macro desks Quant Analyst/Researcher Focus on ...
Develop tools for backtesting, execution, and transaction cost modeling * Partner with PMs and researchers on cash equities, futures, options, credit and macro desks Quant Analyst/Researcher Focus on ...
... backtesting frameworks to ensure accuracy and robustness • Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
... backtesting frameworks to ensure accuracy and robustness • Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure * Communicate complex ...
Quick apply
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure * Communicate complex ...
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure * Communicate complex ...
Quick apply
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure * Communicate complex ...
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure * Communicate complex ...
Quick apply
Contribute to model validation, backtesting, and performance evaluation * Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure * Communicate complex ...
VP, Principal Quant Engineer
Boston, MA · On-site
$185K - $225K/yr
... backtesting, and validation. * Contribute to the endtoend machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and deployment ...
VP, Principal Quant Engineer
Boston, MA · On-site
$185K - $225K/yr
... backtesting, and validation. * Contribute to the endtoend machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and deployment ...
Lead Software Engineer
Boston, MA · On-site
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 ...
Lead Software Engineer
Boston, MA · On-site
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 ...
Principal Quant Engineer - Acadian Asset Management
Boston, MA · On-site
$185K - $225K/yr
... backtesting, and validation. * Contribute to the end‑to‑end machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and ...
Principal Quant Engineer - Acadian Asset Management
Boston, MA · On-site
$185K - $225K/yr
... backtesting, and validation. * Contribute to the end‑to‑end machine learning lifecycle capabilities, including experiment tracking, model management, embedding and graph visualization, and ...
Contribute to quant research projects, including the annual Strategic Asset Allocation process: data preparation, simulation and backtesting, scenario analysis, and presentation of results.
Contribute to quant research projects, including the annual Strategic Asset Allocation process: data preparation, simulation and backtesting, scenario analysis, and presentation of results.
Contribute to quant research projects, including the annual Strategic Asset Allocation process: data preparation, simulation and backtesting, scenario analysis, and presentation of results.
Contribute to quant research projects, including the annual Strategic Asset Allocation process: data preparation, simulation and backtesting, scenario analysis, and presentation of results.
MSIM- Emerging Markets- Quantitative Portfolio Analyst
Boston, MA · On-site
$90K - $115K/yr
Examples include backtesting various strategies, designing portfolio construction approaches, and pre-trade analysis of quotes. - Organize and analyze large data sets using various statistical ...
MSIM- Emerging Markets- Quantitative Portfolio Analyst
Boston, MA · On-site
$90K - $115K/yr
Examples include backtesting various strategies, designing portfolio construction approaches, and pre-trade analysis of quotes. - Organize and analyze large data sets using various statistical ...
MSIM- Emerging Markets- Quantitative Portfolio Analyst
Boston, MA · On-site
$90K - $115K/yr
Examples include backtesting various strategies, designing portfolio construction approaches, and pre-trade analysis of quotes. - Organize and analyze large data sets using various statistical ...
MSIM- Emerging Markets- Quantitative Portfolio Analyst
Boston, MA · On-site
$90K - $115K/yr
Examples include backtesting various strategies, designing portfolio construction approaches, and pre-trade analysis of quotes. - Organize and analyze large data sets using various statistical ...
Design robust evaluation frameworks including offline validation, backtesting, and live measurement * Ensure stakeholders can distinguish correlation from causation in analytical results * Elevate ...
Design robust evaluation frameworks including offline validation, backtesting, and live measurement * Ensure stakeholders can distinguish correlation from causation in analytical results * Elevate ...
Contribute to quant research projects, including the annual Strategic Asset Allocation process: data preparation, simulation and backtesting, scenario analysis, and presentation of results.
Contribute to quant research projects, including the annual Strategic Asset Allocation process: data preparation, simulation and backtesting, scenario analysis, and presentation of results.
Familiarity with the practical use of data in investment workflows such as screening, backtesting, portfolio analysis, factor, and performance / attribution concepts. Experience & Education * 3-7 ...
Familiarity with the practical use of data in investment workflows such as screening, backtesting, portfolio analysis, factor, and performance / attribution concepts. Experience & Education * 3-7 ...
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 ...
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 ...
Quantitative Developer
Boston, MA · Hybrid
Healthy skepticism about model outputs, with strong instincts for evaluation, backtesting, monitoring, and human review * Comfort turning ambiguous analytical workflows into measurable, maintainable ...
Quantitative Developer
Boston, MA · Hybrid
Healthy skepticism about model outputs, with strong instincts for evaluation, backtesting, monitoring, and human review * Comfort turning ambiguous analytical workflows into measurable, maintainable ...
Familiarity with the practical use of data in investment workflows such as screening, backtesting, portfolio analysis, factor, and performance / attribution concepts. Experience & Education * 3-7 ...
Familiarity with the practical use of data in investment workflows such as screening, backtesting, portfolio analysis, factor, and performance / attribution concepts. Experience & Education * 3-7 ...
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
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 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 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 the difference between Backtesting vs Quantitative Analyst?
| Aspect | Backtesting | Quantitative Analyst |
|---|---|---|
| Primary Role | Testing trading strategies using historical data | Developing and implementing quantitative models for investment decisions |
| Required Skills | Data analysis, programming, finance knowledge | Mathematics, programming, financial theory |
| Work Environment | Trading firms, hedge funds, financial institutions | Asset management firms, hedge funds, banks |
| Certifications | Often none required, but CFA or CQF helpful | CFA, 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:
- Associate In Insurance Data Analytics
- Internship Geopolitical Risk Analyst
- Quantum Machine Learning
- Data Analytics Graduate
- Entry Level Quantitative Risk Modeler
- Internship Quant Trading
- Summer Biotech Internships
- Sports Analytics Internships Summer 2026
- Weekend Algorithmic Trading Quant
- Internship Data Analyst Spss
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:
Full-time
Posted 21 days ago
Job description
A sizable systematic focused hedge fund is expanding its quant R&D team and hiring for Quantitative Developer and Quantitative Analyst roles. The firm has a global presence, including offices in NY, CT, Boston, London and HK.
These roles sit close to the investment process, supporting and building systematic equity and futures trading strategies
(mostly mid-frequency)
Quant DeveloperWork at the intersection of research and production:
- Build and optimize research & trading infrastructure
- Implement systematic strategies into live systems
- Develop tools for backtesting, execution, and transaction cost modeling
- Partner with PMs and researchers on cash equities, futures, options, credit and macro desks
Focus on research and alpha development:
- Analyze large datasets to identify systematic trading opportunities
- Research index, benchmark, and event-driven effects
- Support portfolio construction and risk analysis
- Collaborate with developers to transition models into production
- Strong skills in Python (C++ a plus)
- Experience in systematic equities, options, futures or fixed income trading systems and analytics
- Understanding of market microstructure and data-driven research
- Background in a hedge fund, asset manager, or quant-driven environment
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