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Trexquant Jobs in Connecticut (NOW HIRING)

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Trexquant information

What is Trexquant?

Trexquant is a quantitative hedge fund that specializes in developing and executing algorithmic trading strategies across global financial markets. The firm uses advanced data analysis, statistical modeling, and machine learning to identify trading opportunities and manage risk. Trexquant employs professionals with expertise in mathematics, computer science, engineering, and finance to design and implement its trading algorithms. The company is known for its collaborative culture and focus on innovation in quantitative research and technology.

Does Trexquant pay well?

Trexquant, a quantitative trading firm, offers competitive salaries aligned with industry standards for finance and technology roles. Compensation often includes base pay, bonuses, and benefits, depending on experience and position. Employees with strong analytical and programming skills, such as in Python or C++, tend to earn higher salaries.

What are some common challenges faced by quantitative researchers at Trexquant, and how can new hires best prepare for them?

Quantitative researchers at Trexquant often encounter challenges such as handling large, complex datasets, developing robust trading algorithms, and adapting quickly to fast-paced market changes. New hires can best prepare by strengthening their programming skills (especially in Python and C++), staying current with financial markets, and mastering advanced statistical or machine learning techniques. Collaboration is key, as researchers frequently work in interdisciplinary teams with other quants, data engineers, and traders to test and refine strategies.

What are the key skills and qualifications needed to thrive as a quantitative researcher at Trexquant?

To thrive as a quantitative researcher at Trexquant, you need a strong background in mathematics, statistics, computer science, and finance, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages such as Python, C++, or R, and experience with data analysis tools and quantitative modeling platforms are crucial. Exceptional problem-solving abilities, attention to detail, and effective teamwork and communication skills distinguish top performers in this role. These skills are vital for developing innovative trading strategies, analyzing complex datasets, and maintaining a competitive edge in quantitative finance.

What is the difference between Trexquant vs Quantitative Analyst?

AspectTrexquantQuantitative Analyst
Required CredentialsDegree in finance, mathematics, or computer science; experience with programming languages like Python or RDegree in finance, mathematics, or related field; proficiency in programming and statistical analysis
Work EnvironmentFinancial firms, hedge funds, or asset management companies; collaborative and fast-pacedFinancial institutions, hedge funds, or investment firms; analytical and research-focused
Employer & Industry UsageUsed by firms like Trexquant to develop quantitative trading strategiesCommonly employed across finance sectors for developing and testing trading models

Trexquant and Quantitative Analysts share similar educational backgrounds and work environments, focusing on data analysis and model development. While Trexquant is a specific firm specializing in quantitative trading strategies, a Quantitative Analyst is a broader role found across many financial institutions. Both roles require strong analytical skills and programming knowledge, but Trexquant refers to a company, whereas Quantitative Analyst describes a job title.

Infographic showing various Trexquant job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Quantitative Researcher - Volatility (USA)

Trexquant Investment

Stamford, CT โ€ข On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision

Re-posted yesterday


Job description

We are seeking a highly skilled and motivated Quantitative Researcher to join our Volatility team. This role will be pivotal in helping to scale up a growing Volatility focused research group, and will work closely with our Head of Volatility to execute on our strategic roadmap. The role will focus on building volatility specific tooling, as well as on researching signals & strategies for trading within the volatility markets. The ideal candidate will have expertise in volatility modeling, statistical analysis, and a deep understanding of volatility market dynamics.

Responsibilities

  • Build and maintain proprietary pricing/analytics tooling for volatility research.
  • Calibrate implied volatility surfaces across single stock, index, ETF options and more. Work with developers to productionize models and integrate them into backtesting and live trading systems.
  • Design, implement, and optimize trading strategies to predict volatility market trends using extensive financial data and a wide array of trading signals.
  • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for volatility trading.
  • Explore and apply cutting-edge academic research in quantitative finance to assess, refine, and enhance the profitability of trading strategies.
  • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
  • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.

Requirements

  • BS/MS/PhD degree in a STEM field.
  • 5+ years of experience in quantitative research, specifically focused on volatility markets.
  • Proficiency in programming languages like Python and statistical modeling.
  • Experience with industry volatility models; strong understanding of options pricing.
  • Familiarity with C++ a nice to have.
  • Strong problem-solving skills with an ability to work effectively both independently and as part of a team.

Benefits

  • Competitive salary, plus bonus based on individual and company performance.
  • Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets.
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents.
  • Pre-Tax Commuter Benefits – making your commute smoother.

Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.

The base salary for this role is $130,000 to $200,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.

Trexquant is an Equal Opportunity Employer