1

Backtesting Jobs in New York (NOW HIRING)

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

Sr Business Analyst

Whippany, NJ · On-site

$93K - $121K/yr

Backtesting frameworks * Assess regulatory impacts arising from Basel revisions and local regulatory requirements Requirements Business Analysis * Conduct workshops with senior stakeholders across ...

New

Showing results 41-60

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 cities in New York are hiring for Backtesting jobs?

Cities in New York with the most Backtesting job openings:

Infographic showing various Backtesting job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Product Manager - Equity Volatility

Millennium Management LLC

New York, NY • On-site

$175K - $250K/yr

Full-time

Re-posted 8 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

Product Manager - Equity Volatility
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
The Information Technology team is central to the scale and performance of Millennium's business. The firm's active, multi-manager model depends on flexible, scalable technology and advanced proprietary systems that power analytics, trading, and risk management. Within this environment, the Equity Volatility technology team builds and supports proprietary tools and services used across the business for research, strategy backtesting, and portfolio risk management in equities derivatives. The Equity Volatility business has delivered strong growth and performance over the last several years, and the team continues to expand its technology capabilities in support of that momentum.
What You'll Do
• Partner with investment teams and business stakeholders to gather, refine, and synthesize requirements across the Equity Volatility platform
• Analyze upstream and downstream data dependencies and translate business needs into clear BRDs, FRDs, JIRA tickets, and project plans
• Manage day-to-day project execution, identifying, escalating, and helping resolve issues, conflicts, and delivery roadblocks
• Create and maintain product roadmaps and related project artifacts to align stakeholders and manage expectations
• Coordinate development tasks, testing, and release validation to ensure solutions meet business and user requirements
• Develop user guides and platform documentation to support onboarding, adoption, and effective use of the tools
• Help deliver proprietary tools that support research, strategy backtesting, and risk management for equities derivatives portfolios
What You Bring
• 6+ years of experience in a relevant business analyst and/or product management role
• Strong subject matter expertise in equity derivatives, including market data, pricing, and risk management methodologies, with particular focus on Volatility and Delta 1 products and related risk sensitivities
• Hands-on experience working on proprietary derivatives pricing, analytics, and risk management systems in close partnership with traders, risk managers, and business leaders
• Strong understanding of equities options markets and the requirements that support listed options execution infrastructure
• Experience working in a Scrum environment, with practical working knowledge of JIRA
• Strong communication, interpersonal, and written documentation skills
• Ability to perform effectively in a fast-paced, demanding environment
• Basic understanding of Python and the ability to read Java code to understand implemented functionality; development experience or CFA is a plus
Salary Range: Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, 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.

What Millennium Management employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom