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Backtesting Jobs in Manhattan, NY (NOW HIRING)

Learn Beyond Consulting LLC

Java Developer

Jersey City, NJ · On-site

$53.25 - $69/hr

Experience with research and backtesting frameworks * Experience working with large-scale / high-frequency datasets * Strong software engineering practices: Git, testing, modular design * Linux and ...

Rapidtrade

Quantitative Analyst

Manhattan, NY · On-site

$150 - $250/hr

Experience with backtesting frameworks and simulation * Understanding of market microstructure and trading mechanics Nice to Have * Experience with cryptocurrency markets * Knowledge of options ...

Point72

Equity Quantitative Researcher

New York, NY · On-site

End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation * Identify and evaluate new datasets for stock return predictions

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Showing results 21-40

All JobsBacktesting JobsBacktesting Jobs in Manhattan, NY

Backtesting information

See Manhattan, NY salary details

$46.4K

$113.1K

$165.5K

How much do backtesting jobs pay per year?

As of Sep 6, 2026, the average yearly pay for backtesting in Manhattan, NY is $113,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,200.00 and $131,300.00 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?

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 Manhattan, NY?

For Backtesting jobs in Manhattan, NY, the most frequently searched job titles are:

What job categories do people searching Backtesting jobs in Manhattan, NY look for?

The top searched job categories for Backtesting jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for Backtesting jobs?

Cities near Manhattan, NY with the most Backtesting job openings:

Backtesting jobs near you
Infographic showing various Backtesting job openings in Manhattan, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $113,054 per year, or $54.4 per hour.

Head of Systematic ETF Strategy Team (USA)

Trexquant Investment

New York, NY • On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 days ago

Job description

Trexquant is seeking an experienced quantitative researcher to lead our Systematic ETF Strategy Team. In this role, you will manage a team of researchers focused on designing, implementing, and trading systematic ETF-based strategies within Trexquant’s core quantitative framework. Your leadership will play a critical role in scaling ETF strategies into a meaningful asset class for the firm.

Responsibilities

  • Lead and mentor a team of researchers to expand ETF capabilities by identifying new data sources, signals, and strategies.
  • Oversee the design, backtesting, and implementation of systematic ETF trading strategies.
  • Collaborate with the development team to enhance the performance, robustness, and scalability of ETF simulation and trading infrastructure.
  • Partner with execution and financing teams to optimize trade execution and capital efficiency.
  • Work with the risk team to establish monitoring frameworks, controls, and capital allocation processes specific to ETF exposures.
  • Present ETF research initiatives and progress to senior management, ensuring alignment with firm-wide trading and investment strategies.

Requirements

  • 5+ years of experience researching and trading quantitative ETF-based strategies.
  • Bachelor’s, Master’s, or Ph.D. in Mathematics, Statistics, Computer Science, or a related STEM field.
  • Proven leadership experience managing quantitative research teams.
  • Strong quantitative, analytical, and problem-solving skills.
  • Proficiency in Python; familiarity with large-scale data analysis and backtesting frameworks a plus.

Benefits

  • Competitive salary with performance-based bonus.
  • Collaborative, casual, and friendly work environment.
  • PPO health, dental, and vision insurance fully covered for you and your dependents.
  • Pre-tax commuter benefits.
  • Weekly company-provided meals.

Applications are now open for our NYC office, opening in September 2026.

The base salary range is $130,000 to $200,000, depending on candidates’ educational and professional background. Base salary is only one part of Trexquant’s total compensation, which may include a discretionary and performance based bonus.

Trexquant is an Equal Opportunity Employer