Point72 Quantitative Research Intern

Quant Blueprint LLC; New York, Chicago, Miami (NY, IL, FL); On-site; USD 120,000 - 200,000; Full time

Benefits offered by this job

5 weeks of paid vacation

Free meals daily

Reimbursement for health and wellness expenses

Job summary

Tower Research Capital, located in New York, is seeking a talented Quantitative Trader/Researcher to develop algorithmic trading strategies. The ideal candidate has a strong background in mathematics and statistics, with proficiency in Python or C++. The role involves designing trading algorithms, researching market data, and developing analytical tools.

The anticipated annual salary range is between $120,000 and $200,000, with additional bonuses. The company offers 5 weeks of paid vacation, free meals, and health expense reimbursements.

Qualifications

• Experience in quantitative trading is preferred but not a requirement.
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data.
• Familiarity with signal generation and statistical models.

Responsibilities

• Designing, implementing and deploying trading algorithms.
• Researching high to mid frequency alphas.
• Exploring trading ideas by analyzing market data.

Skills

Quantitative analysis

Data-mining

Programming in Python

Statistical techniques

Back-testing

Education

Bachelor’s, Master’s or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree

Job description

Overview

Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks talented and experienced Quantitative Traders and Researchers.

As a member of one of Tower's trading teams, a Quantitative Trader / Researcher will be using Tower's in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing and deploying trading algorithms
• Researching high to mid frequency alphas
• Exploring trading ideas by analyzing market data, market microstructure and alternate data for patterns
• Creating tools to analyze data for patterns and developing data platforms
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting and calibrating exchange simulators

Qualifications

• A Bachelor’s, Master’s or PhD degree in Mathematics, Statistics, Computer Science or equivalent STEM degree
• Experience in quantitative trading is preferred but not a requirement
• A strong background in mathematics and statistics
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Familiarity with signal generation and statistical models
• Strong programming skills in Python or C++

Anticipated New York annual base salary range $120,000-200,000, plus eligible for discretionary bonus

Benefits

• 5 weeks of paid vacation plus paid holidays
• Free breakfast, lunch, and snacks on a daily basis
• Reimbursement for health and wellness expenses
• Free events and workshops
• Donation matching program

Tower Research Capital is an equal opportunity employer.