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Backtesting Jobs in New Jersey (NOW HIRING)

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

Build research and backtesting frameworks integrating AI models with historical data. * Translate quantitative and ML research into production-ready, resilient systems. * Integrate AI models into ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · Hybrid

Perform backtesting and simulation of trading strategies. * Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

Perform backtesting and simulation of trading strategies. * Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and ...

Jay Analytix Inc

Quantitative Developer

Jersey City, NJ · On-site

Perform backtesting and simulation of trading strategies. * Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and ...

Jay Analytix INC.

Quantitative Developer

Jersey City, NJ · On-site

$120 - $150/hr

Perform backtesting and simulation of trading strategies. * Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and ...

Jay Analytix

Quantitative Developer

Jersey City, NJ · On-site

$100 - $150/hr

Perform backtesting and simulation of trading strategies. * Validate financial models and ensure the accuracy of calculations. * Contribute to the ongoing improvement of analytics infrastructure and ...

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Backtesting information

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 New Jersey? For Backtesting jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Backtesting jobs in New Jersey look for? The top searched job categories for Backtesting jobs in New Jersey are:
What cities in New Jersey are hiring for Backtesting jobs? Cities in New Jersey with the most Backtesting job openings:
Backtesting jobs near you
Infographic showing various Backtesting job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Quantitative Researcher / Lead Data Scientist

Compunnel

Parsippany, NJ • On-site

Contractor

Posted 11 days ago

Job description

JOB SUMMARY
Senior Quantitative Researcher to join an early-stage research initiative focused on discovering and validating predictive financial signals within proprietary datasets. This is a highly analytical, research-driven role where you'll develop statistical models, perform rigorous backtesting, and help determine the commercial value of new financial insights. This is not a traditional production Data Science role. You'll spend most of your time conducting quantitative research, building forecasting models, validating hypotheses, and communicating findings that may ultimately evolve into a production solution.
Key Responsibilities
Conduct quantitative research using large proprietary datasets.
Build and validate forecasting models using advanced time series techniques.
Develop and evaluate predictive financial signals through rigorous backtesting.
Apply econometric methods and statistical modeling to identify meaningful market relationships.
Analyze correlations between proprietary data, macroeconomic indicators, and financial markets.
Present research findings and recommendations to technical and business stakeholders.
Collaborate with engineering teams as successful research transitions toward production.
Required Qualifications
Significant experience with time series analysis and forecasting.
Strong background in econometrics, statistical modeling, and quantitative research.
Experience designing rigorous backtesting methodologies and preventing look-ahead bias/data leakage.
Strong Python and SQL skills.
Experience in financial services, quantitative finance, capital markets, investment research, or asset management.
Ability to work independently and thrive in an ambiguous, research-oriented environment.
Preferred Qualifications
Exp with BLS Econometric data
Time Series Analysis Building
Forecasting models/ systems -- most important
Experience building indices
Financial Markets | Time Series Forecasting | Econometrics
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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