Quantitative Researcher

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

Job summary

Point Three Group in New York is seeking a Quantitative Researcher to focus on index rebalancing, conducting research, implementation, and strategy development.

You will design models, test ideas, and work with fellow researchers to advance alpha-generating approaches around scheduled and unscheduled rebalancing events; strong programming skills and collaboration are essential.

Qualifications

• Bachelor’s/Master’s/Ph.D. in a quantitative field (e.g., CS, math, physics, finance).
• 5+ years in a quantitative research role focusing on index rebalancing strategies.
• Proficiency in statistical analysis, time series analysis, and machine learning algorithms.
• Strong programming abilities in Python, C++, Java, or other languages.
• Experience with SQL, Pandas, NumPy, or similar data analysis libraries.

Responsibilities

• Use quantitative research techniques to design, test, and deploy systematic trading strategies around index rebalancing events.
• Stay abreast of rebalancing methodologies and track factors affecting index eligibility.
• Build predictive models to forecast index component changes and identify alpha opportunities around additions/removals.
• Collaborate with other researchers to test ideas and manage existing models.

Skills

Python

C++

Java

Machine learning

Time series analysis

Statistical analysis

Data-driven decisions

Education

Bachelor’s/Master’s/Ph.D. in quantitative field

Tools

SQL

Pandas

NumPy

Git

Job description

Quantitative Researcher - Index Rebalancing

About our Client and the Role

Our client is a $30b hedge fund looking to hire a quantitative researcher to focus on index rebalancing strategies. You’ll work on research, implementation, and strategy development.

Responsibilities

• Use quantitative research techniques to research, design, test, and deploy systematic trading strategies around scheduled and unscheduled index rebalancing events;
• Stay abreast of rebalancing methodologies and build processes to track factors affecting index constituent eligibility;
• Build predictive models to forecast changes in index components across different indices and identify alpha generating opportunities around prospective additions or removals;
• 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 index rebalancing strategies;
• 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.