Quant Research Intern — Build Trading Models

Quant Blueprint LLC; New York (NY); On-site; USD 170,000 - 300,000; 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; free breakfast and lunch every day on-site

Tuition Reimbursement Program

401(k) with employer match

Flexible Spending Plan

Commuter Benefit Program

Job summary

Old Mission, a trading firm in New York City, is seeking a Quantitative Researcher to work with traders and research teams. Responsibilities include conducting research, developing models, and optimizing strategies. Candidates must hold an advanced degree, have equity trading experience, and possess strong statistical knowledge.

The role offers a competitive salary ranging from $170,000 to $300,000, alongside comprehensive benefits including medical and tuition reimbursement.

Qualifications

• An advanced degree in a quantitative field such as computer science, engineering, mathematics, statistics, or physics.
• 3+ years of relevant equity trading experience.
• Expertise in building statistical models and equity forecasts.

Responsibilities

• Conduct research and analyze large data sets to develop alpha signals and contribute to portfolio construction.
• Collaborate to analyze performance while optimizing and creating new strategies.
• Develop pricing models and assess risk.

Skills

Statistical modeling

Data analysis

Communication

C++

Python

R

Education

Advanced degree in a quantitative field

Job description

Old Mission, a trading firm in New York City, is seeking a Quantitative Researcher to work with traders and research teams. Responsibilities include conducting research, developing models, and optimizing strategies. Candidates must hold an advanced degree, have equity trading experience, and possess strong statistical knowledge.

The role offers a competitive salary ranging from $170,000 to $300,000, alongside comprehensive benefits including medical and tuition reimbursement.