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 ...
SQL exposure required. • Strong statistical intuition and experience with backtesting pitfalls (overfitting, leakage, regime effects). • Familiarity with portfolio construction concepts such as ...
SQL exposure required. • Strong statistical intuition and experience with backtesting pitfalls (overfitting, leakage, regime effects). • Familiarity with portfolio construction concepts such as ...
... 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 ...
Lead Data Science Analyst, GTM Strategic Analytics and Insights
Boston, MA · On-site
$120 - $180/hr
... backtesting frameworks to ensure accuracy and robustness. * Apply statistical rigor : lead deep‑dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
Lead Data Science Analyst, GTM Strategic Analytics and Insights
Boston, MA · On-site
$120 - $180/hr
... 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 ...
... backtesting frameworks to ensure accuracy and robustness • Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
Lead Data Science Analyst, GTM Strategic Analytics and Insights
Boston, MA · On-site
$140 - $200/hr
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
New
Lead Data Science Analyst, GTM Strategic Analytics and Insights
Boston, MA · On-site
$140 - $200/hr
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
New
Lead Data Science Analyst, GTM Strategic Analytics and Insights Boston, MA
Boston, MA · On-site
$120 - $180/hr
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
New
Lead Data Science Analyst, GTM Strategic Analytics and Insights Boston, MA
Boston, MA · On-site
$120 - $180/hr
... backtesting frameworks to ensure accuracy and robustness * Apply statistical rigor : lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and ...
New
... 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
$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
$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 ...
eFX Quantitative Developer, AVP - Global Markets
Boston, MA · On-site
$157.50 - $192.50/hr
Experience in backtesting and implementing signals based on high-frequency asynchronous tick dataIn addition to professional growth, you'll have access to mentoring and advanced resources, and become ...
eFX Quantitative Developer, AVP - Global Markets
Boston, MA · On-site
$157.50 - $192.50/hr
Experience in backtesting and implementing signals based on high-frequency asynchronous tick dataIn addition to professional growth, you'll have access to mentoring and advanced resources, and become ...
Validating model outputs using backtesting, calibration, sensitivity analysis, benchmark comparison, and expert review * Presenting findings in clear, intuitive, and actionable ways for technical and ...
Validating model outputs using backtesting, calibration, sensitivity analysis, benchmark comparison, and expert review * Presenting findings in clear, intuitive, and actionable ways for technical and ...
Principal Data Scientist
Cambridge, MA · On-site
Advance Modeling & Validation Best Practices - Shape our approach to forecasting, experimentation, feature engineering, model selection, and production data science, including holdout and backtesting ...
Principal Data Scientist
Cambridge, MA · On-site
Advance Modeling & Validation Best Practices - Shape our approach to forecasting, experimentation, feature engineering, model selection, and production data science, including holdout and backtesting ...
Advance Modeling & Validation Best Practices - Shape our approach to forecasting, experimentation, feature engineering, model selection, and production data science, including holdout and backtesting ...
Advance Modeling & Validation Best Practices - Shape our approach to forecasting, experimentation, feature engineering, model selection, and production data science, including holdout and backtesting ...
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.
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 ...
Backtesting information
See Somerville, MA salary details
$45.8K - $56.5K
1% of jobs
$56.5K - $67.3K
2% of jobs
$67.3K - $78K
4% of jobs
$78K - $88.7K
13% of jobs
$91.4K is the 25th percentile. Wages below this are outliers.
$88.7K - $99.4K
18% of jobs
The median wage is $107.4K / yr.
$99.4K - $110.1K
15% of jobs
$110.1K - $120.8K
15% of jobs
$126K is the 75th percentile. Wages above this are outliers.
$120.8K - $131.5K
13% of jobs
$131.5K - $142.3K
9% of jobs
$142.3K - $153K
5% of jobs
$153K - $163.7K
4% of jobs
$45.8K
$111.8K
$163.7K
How much do backtesting jobs pay per year?
As of Sep 2, 2026, the average yearly pay for backtesting in Somerville, MA is $111,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $129,900.00 per year, depending on experience, location, and employer.
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 skills and qualifications are needed to thrive as a backtesting analyst?
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 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 job categories do people searching Backtesting jobs in Somerville, MA look for?
The top searched job categories for Backtesting jobs in Somerville, MA are:
What cities near Somerville, MA are hiring for Backtesting jobs?
Cities near Somerville, MA with the most Backtesting job openings:
Full-time
Re-posted 4 hours 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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