Senior Quantitative Researcher – Alpha Signals & Trading

Old Mission; New York (NY); On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

Life insurance

Free meals

Tuition reimbursement

401k match

Paid vacation

Parental leave

Commuter benefits

Job summary

Old Mission, a global trading firm, seeks a Quantitative Researcher in NYC to work with traders and research infra on alpha signals and portfolio construction. You will analyze large data sets, develop pricing models, and contribute to strategy optimization.

The role requires a quantitative advanced degree, strong statistical techniques, and 3+ years of equity trading experience, with proficiency in C++ or Python and a track record of deploying models to production trading systems.

Qualifications

• Advanced degree in a quantitative field (computer science, engineering, math, stats or physics).
• Deep understanding of advanced statistical techniques.
• 3+ years of equity trading experience.
• Expertise building statistical models for equity forecasts deployed to production trading systems.

Responsibilities

• Conduct research and analyze large data sets to develop alpha signals and support portfolio construction.
• Collaborate to analyze performance and optimize/create new strategies.
• Develop pricing models for assets and portfolios.
• Assess risk and communicate insights to traders and researchers.

Skills

Advanced degree

Statistics methods

Equity trading exp

Statistical models

C++

Python

Team leadership

Communication

Education

Advanced quantitative degree

Tools

C++

Python

R

Matlab

Ruby

Java

Job description

Old Mission, a global trading firm, seeks a Quantitative Researcher in NYC to work with traders and research infra on alpha signals and portfolio construction. You will analyze large data sets, develop pricing models, and contribute to strategy optimization.

The role requires a quantitative advanced degree, strong statistical techniques, and 3+ years of equity trading experience, with proficiency in C++ or Python and a track record of deploying models to production trading systems.