Equity Quantitative Researcher

Point Three Group; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Point Three Group is seeking a Quantitative Researcher to focus on equity alpha research, with emphasis on opening and closing auction strategies. You will generate ideas, develop strategies, back-test, and implement models within a collaborative team.

The role demands deep expertise in market microstructure, time-series analysis, and machine learning, with strong programming skills in Python/C++/Java, and experience handling large datasets. NYC area compensation reflects the regional market.

Qualifications

• Bachelor’s, Master’s, or Ph.D. in a quantitative STEM field.
• 5+ years in quantitative research focusing on auctions or intraday equity strategies.
• Extensive knowledge of market microstructure and exchange dynamics.
• Proficiency in Python, C++, Java, or similar languages.
• Experience with SQL, Pandas, NumPy and data analysis libraries.
• Strong analytical and data-driven decision making.
• Excellent verbal and written communication; team collaboration.

Responsibilities

• Use quantitative research techniques to research, design, test, and deploy systematic equity trading strategies, focusing on opening and closing auctions.
• Analyze data and build predictive models to identify market inefficiencies around auction dynamics.
• Stay abreast of auction methodologies for various exchanges.
• Collaborate with other researchers to exchange ideas, test new models, and manage existing models.

Skills

Python

C++

Java

SQL

Pandas

NumPy

Time series

Machine learning

Market microstructure

Quant research

Communication

Education

Bachelor’s/Master’s/PhD in quantitative field

Job description

Quantitative Researcher – Equities

About our Client and the Role

Our client is a $20b systematic hedge fund looking to hire a quantitative researcher to focus on equity alpha research, specifically closing and opening auction related strategies. You'll be responsible for idea generation, strategy development, research/analysis, back-testing, and model implementation.

Responsibilities

• Use quantitative research techniques to research, design, test, and deploy systematic equity trading strategies, focusing on opening and closing auctions;
• Analyze data and build predictive models to identify market inefficiencies around auction dynamics;
• Stay abreast of auction methodologies for various exchanges;
• Collaborate with other researchers to exchange ideas, test new models, and manage existing models;

Requirements

• A Bachelor’s, Master’s, or Ph.D. degree in a quantitative field such as computer science, mathematics, statistics, physics, finance, or similar STEM disciplines;
• 5+ years in a quantitative research role focusing on closing/opening auctions, statistical arbitrage, or intraday equity strategies;
• Extensive knowledge of market microstructure and exchange dynamics;
• Proficiency in advanced research techniques, statistical analysis, time series analysis, and machine learning algorithms;
• Strong programming abilities in Python, C++, Java, or other;
• Proficiency in data analysis, data manipulation, and working with large datasets. Experience with SQL, Pandas, NumPy, or other data analysis libraries;
• Strong analytical skills with the ability to formulate and solve complex problems, think critically, and make data-driven decisions;
• Excellent verbal and written communication skills and ability to effectively convey complex ideas;
• Demonstrated ability to work collaboratively in a team-oriented environment;
• Ability to manage multiple tasks and priorities in a fast-paced, dynamic environment;
• Flexibility to adapt to changing market conditions and research requirements;

In accordance with New York City’s Pay Transparency Law, the base salary range for this role is $150,000 to $250,000. Base salary does not include other forms of compensation or benefits such as a discretionary bonus, health, dental, and other wellness plans and 401(k) contributions. Discretionary bonuses can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

About Point Three Group

Point Three Group is helping redefine the future of computational finance. Our goal is to fuel research progress, foster innovation, and shape the financial landscape by connecting the brightest minds in research, trading, and engineering with leading investment firms. We bring unparalleled industry experience, honed through years of internal recruiting at some of the biggest and most successful companies in finance and tech. Our insider knowledge of the qualities and skills that make candidates exceptional gives us a deeper edge in understanding our clients’ needs and recruiting talent that exceeds expectations.

At Point Three, we don’t just find talent; we discover the future of finance.