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Backtesting Jobs (NOW HIRING)

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

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 ...

Trexquant Investment

Senior Data Architect (USA)

Stamford, CT · 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 ...

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How much do backtesting jobs pay per year?

As of Aug 20, 2026, the average yearly pay for backtesting in the United States is $102,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $119,000.00 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.

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Backtesting jobs near you
Infographic showing various Backtesting job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 70% In-person, 12% Hybrid, and 18% Remote job distribution, with an average salary of $102,439 per year, or $49.2 per hour.

Quantitative Researcher, Systematic Macro

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 17 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Quantitative Researcher, Systematic Macro
Quantitative Researcher, Systematic Macro
Please direct all resume submissions to QuantTalentUS@mlp.com.
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.
Job Description
A fast-growing, collaborative and entrepreneurial systematic investment team is seeking a highly skilled Quantitative Researcher with expertise in systematic macro strategies. The ideal candidate will contribute to alpha research, signal development, and strategy implementation in a dynamic and fast-paced environment. This role offers significant career growth.
Location
New York
Principal Responsibilities
  • Work closely with the Senior Portfolio Manager to develop systematic macro strategies, focusing on alpha research, including idea generation, data preprocessing, statistical analysis, backtesting and implementation.
  • Contribute to and enhance the internal research platform, including data pipelines, statistical learning tools, alpha analytics, and backtesting frameworks.
  • Independently explore and develop new alpha ideas while collaborating in a transparent and team oriented environment.

Preferred Technical Skillset
  • Strong research and programming skills, with proficiency in Python.
  • Solid experience with data analytics libraries (e.g., Pandas, SciPy, NumPy, Polars); extensive library-building experience is a plus.
  • Masters or PhD degree in a quantitative subject such as Applied Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science or related field from a top ranked university. Strong candidates with Bachelor's degree will also be considered.
  • Exceptional problem-solving abilities, intellectual curiosity (especially in alpha research), and a proactive research mindset.
  • Creativity and out of the box thinking, combined with rigorous quantitative analysis.

Preferred Experience
  • 2+ years of experience in quantitative research with a focus on systematic macro strategies.
  • Preferred experience in hedge fund alpha research in commodities, FX, equity and bond futures.
  • Experience in macro intraday strategies is a strong plus.
  • Experience in trading cost analysis is a plus.
  • Experience in machine learning is a plus.

Target Start Data
  • Up to 12 months (strong preference for candidates who can start sooner)

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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