Quantitative Trader: Statistical Arbitrage & Systematic Signals

Quant Blueprint LLC; New York (NY); On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Competitive salary with discretionary annual bonus

Fully paid Medical, Dental, Vision, Disability, and Life Insurance

Fully stocked kitchen with free breakfast and lunch

Tuition Reimbursement Program

401(k) with employer match

Flexible Spending Plan

Commuter Benefit Program

Job summary

Old Mission is hiring a Quantitative Trader for their Statistical Arbitrage Desk in New York City. The ideal candidate will develop and implement systematic trading strategies across equities and futures markets, with a proven track record in signal research and portfolio optimization.

The role includes conducting research to identify trading signals, developing innovative methodologies, and collaborating with quantitative teams. Benefits include competitive salary, medical insurance, and a tuition reimbursement program.

Qualifications

• Advanced degree in a quantitative discipline such as Mathematics, Statistics, Economics, Physics, Computer Science, or Engineering; PhD preferred.
• Proven experience in quantitative trading, statistical arbitrage, or systematic trading.
• Strong proficiency in programming languages for data analysis and algorithmic trading.

Responsibilities

• Conduct comprehensive research to identify alpha-generating signals in equities and futures.
• Develop methodologies to combine multiple signals into robust trading strategies.
• Design and implement advanced portfolio optimization techniques.

Skills

Quantitative analysis

Statistical arbitrage

Signal research

Portfolio optimization

Programming in Python

Education

PhD in Mathematics or related field

Advanced degree in quantitative discipline

Tools

Python

R

C++

Job description

Old Mission is hiring a Quantitative Trader for their Statistical Arbitrage Desk in New York City. The ideal candidate will develop and implement systematic trading strategies across equities and futures markets, with a proven track record in signal research and portfolio optimization.

The role includes conducting research to identify trading signals, developing innovative methodologies, and collaborating with quantitative teams. Benefits include competitive salary, medical insurance, and a tuition reimbursement program.