Quantitative Equity Trader — Build Alpha with Python/C++

Old Mission

New York (NY)

On-site

USD 150,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Medical, Dental, Vision Insurance
Free breakfast and lunch on-site
Tuition Reimbursement Program
401(k) with employer match
Paid Vacation, Sick, and Parental leaves
Commuter and Flexible Spending Programs

Job summary

Old Mission in New York City is looking for a Systematic Equity Trader to develop and implement cutting-edge equity strategies. The successful candidate will work closely with engineering and research teams to create proprietary trading strategies.

This position requires a strong background in quantitative/systematic trading and the ability to write code in Python and C++. The role offers an attractive salary range of $150,000 to $225,000 along with excellent benefits.

Qualifications

  • Bachelor's degree in a related technical field required.
  • Experience in quantitative/systematic trading essential.
  • Ability to develop full stack trading strategies.

Responsibilities

  • Develop proprietary trading strategies with engineering and research teams.
  • Conduct alpha research and model implementation.
  • Design and implement short-term trading strategies.

Skills

Quantitative trading experience
Financial insight
Statistical learning techniques
Software development in Python
Software development in C++
Communication skills
Self-starter mentality

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Finance, Economics, or related field

Job description

Old Mission in New York City is looking for a Systematic Equity Trader to develop and implement cutting-edge equity strategies. The successful candidate will work closely with engineering and research teams to create proprietary trading strategies.

This position requires a strong background in quantitative/systematic trading and the ability to write code in Python and C++. The role offers an attractive salary range of $150,000 to $225,000 along with excellent benefits.

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