Senior Quantitative Researcher - Alpha Signals & Models

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

Benefits offered by this job

Medical, dental, vision, disability, &

On-site meals (breakfast & lunch)

Tuition reimbursement

401(k) with employer match

Paid vacation, sick, parental leave

Commuter & Flexible Spending Programs

Job summary

Old Mission in New York City is seeking a Quantitative Researcher to work with traders and research infrastructure to develop alpha signals and improve portfolios. You will analyze large data sets, collaborate on strategy optimization, and build pricing models while assessing risk.

Ideal candidates hold an advanced quantitative degree, have 3+ years of equity trading experience, and are proficient in multiple programming languages.

Qualifications

• Advanced degree in a quantitative field (CS, engineering, mathematics, statistics, or physics).
• Strong knowledge of advanced statistical techniques.
• 3+ years of equity trading experience.
• Experience deploying models to production equity trading systems.
• Proficiency in C++, Python, R, Matlab, Ruby, or Java.
• Experience leading a team of researchers.
• Excellent written and verbal communication skills.

Responsibilities

• Conduct research and analyze large data sets to develop alpha signals and contribute to portfolio construction.
• Collaborate to analyze performance, optimize, and develop new strategies.
• Develop pricing models for assets and strategies.
• Assess and manage risk.

Skills

Quant degree

Statistical techniques

Trading experience (3+)

Statistical models in production

Programming languages

Team leadership

Communication skills

Education

Advanced quantitative degree

Job description

Old Mission in New York City is seeking a Quantitative Researcher to work with traders and research infrastructure to develop alpha signals and improve portfolios. You will analyze large data sets, collaborate on strategy optimization, and build pricing models while assessing risk.

Ideal candidates hold an advanced quantitative degree, have 3+ years of equity trading experience, and are proficient in multiple programming languages.