Medium Frequency Quantitative Researcher

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

Job summary

Tudorgroup's Macro Pipeline team is seeking a Quantitative Alpha Researcher to join in New York. The role involves researching and implementing systematic trading models and fully automated futures signals. Candidates should have 2-4 years of relevant research experience and an advanced degree in a quantitative field.

The position offers a salary range from $150,000 to $250,000 per year based on skills and experience, alongside potential bonuses based on performance and market conditions.

Qualifications

• 3+ years of experience researching scalable short and medium-term alpha.
• Excellent coding skills, able to write efficient code.
• High attention to detail and creative thinker.

Responsibilities

• Research and implement fully automated systematic futures signals.
• Work within a systematic trading team.
• Build and maintain systematic trading models.

Skills

Experience researching scalable short and medium-term alpha

Fluency in Python

Fluency in R

Understanding of probabilities, statistics and optimization

Attention to detail

Creative thinking

Education

Advanced degree (MSc or PhD) in a quantitative field

Job description

Tudor’s Macro Pipeline team seeks a Quantitative Alpha Researcher to work within a systematic trading team that currently researches, builds and maintains systematic trading models in the liquid futures space. The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals with intraday to daily horizons. Suitable candidates will generally have at least 2-4 years of comparable research experience.

Requirements

• 3+ years of experience researching scalable short and medium-term alpha
• An advanced degree (MSc or PhD) from a top institution is preferred
• Strong preference for advanced degrees in a quantitative field (e.g. Statistics, Machine Learning, Physics, Mathematics, or Engineering)
• Excellent understanding of probabilities, statistics and optimization
• Experience manipulating large datasetsExcellent programming skills: fluency in Python and R is a must, as is the ability to write efficient code
• High attention to detail
• Creative thinker

Compensation

• Annual base salary for the position is expected to be from $150,000 per year to $250,000 per year. Actual salary offered to the successful candidate will depend on various factors including, but not limited to, geographic location, work experience and credentials, and/or skill level, the salary expectations of applicable applicants, and other market conditions. Details about eligibility for bonus compensation will be finalized at the time of offer.

Location

• New York, NY, London, Singapore