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Backtesting Jobs in Manhattan, NY (NOW HIRING)

Trexquant Investment

Senior Data Architect (USA)

New York, NY · On-site

$175K - $200K/yr

  • Medical

  • Dental

  • Vision

Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. * Develop intuitive researcher interfaces and APIs that allow ...

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 Aug 15, 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 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 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 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.

Quantitative Researcher - Joseph Anthony Group

Joseph Anthony Group

Manhattan, NY • On-site

Full-time

Medical, PTO

Posted 4 days ago

Job description

We’ve partnered with a high-growth technology company building purpose-built blockchain infrastructure for financial applications. The firm develops interoperable Web3 systems and decentralized finance products that power trading, derivatives, and cross-chain liquidity across digital asset markets.

They are hiring a Quantitative Researcher to join a New York-based quantitative research team. The role focuses on analyzing crypto market structure and developing systematic trading strategies within decentralized environments. This position is well-suited to someone experienced working with real-time data and algorithmic trading models.

Responsibilities

  1. Analyze market microstructure and on-chain data to identify inefficiencies
  2. Develop statistical and machine learning models for trading strategies
  3. Design and implement market-making, arbitrage, and systematic strategies
  4. Build and maintain research pipelines and optimization tools
  5. Develop and run backtesting frameworks
  6. Contribute to trading infrastructure including order management and connectivity
  7. Build scalable data pipelines and research environments
  8. Optimize system performance, latency, and reliability
  9. Implement risk monitoring and controls
  10. Conduct post-trade analysis including slippage and market impact
  11. Create dashboards and reporting tools
  12. Run simulations to evaluate execution and liquidity

Requirements

  1. M.S. or Ph.D. in a quantitative field
  2. 3–5 years of experience in quantitative research or development
  3. Experience in high-frequency or low-latency environments
  4. Strong background in statistics, probability, and time-series analysis
  5. Advanced Python skills
  6. Experience with C++ or Rust
  7. Solid understanding of data structures and algorithms
  8. Experience with backtesting and strategy development
  9. Ability to work with large datasets and validate results
  10. Understanding of financial markets and risk management

Preferred

  1. Experience with machine learning or distributed systems
  2. Familiarity with Linux environments
  3. Exposure to crypto markets or blockchain data
  4. Experience with real-time trading systems and APIs
  5. Understanding of blockchain or smart contracts
  6. Background in fintech or trading firms
  7. Relevant certifications or published research

Compensation and Benefits

  1. Competitive base and performance incentives
  2. Equity or token participation
  3. Health benefits
  4. Flexible PTO
  5. Home office and equipment support
  6. Flexible work schedule
  7. Work on advanced financial technology
  8. Collaborative team environment

Apply