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Backtesting Jobs in New York (NOW HIRING)

Point72

Quantitative Software Developer

New York, NY

Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components * Building tools for signal blending, simulation ...

De Circle

Paxos Labs - DeFi Researcher

New York, NY · On-site +1

Design and manage algorithm development and backtesting for actionable insights on DeFi portfolio management. * Create frameworks for risk analysis and portfolio optimization. * Monitor data ...

Point72

Quantitative Software Developer

New York, NY · On-site

Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components * Building tools for signal blending, simulation ...

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Backtesting information

What are the key skills and qualifications needed to thrive as a Backtesting Analyst, and why are they important?

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 some 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 York? For Backtesting jobs in New York, the most frequently searched job titles are:
What job categories do people searching Backtesting jobs in New York look for? The top searched job categories for Backtesting jobs in New York are:
What cities in New York are hiring for Backtesting jobs? Cities in New York with the most Backtesting job openings:
Backtesting jobs near you

Quant Developer, Risk - London or NYC- Global Prime Brokerage & Financing Platform

Oxford Knight

Manhattan, NY • On-site

Full-time

Posted 28 days ago

Job description

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.
Responsibilities
  • Ensuring risk models are in a production-ready state by contributing to various parts of development, in particular the productionization
  • Improving research tools and models, e.g. backtesting
  • Developing APIs for internal and external customers with customized analytics
  • Maintaining, improving and extending the scenario engine and risk engine code

Skills & Experience Required
  • Minimum 5+ years' quant software development experience, preferably at a top-tier financial services firm
  • Ability to write production-grade (robust and maintainable) Python code
  • BS degree or above in Computer Science, Mathematics, or related field
  • Previous hands-on experience of (some part of) a model-building pipeline (e.g. risk, alpha, etc.)
  • Built large-scale, distributed systems

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you are suitable for this role, drop me an email or give me a call!
Jack Peck
[e] jack.peck@oxfordknight.co.uk
[t] +44 20 3745 6537
linkedin.com/in/jack-peck-448a70131

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