VP Quantitative Developer — Rates Trading & Research

Aumni

New York (NY)

On-site

USD 130,000 - 200,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health care coverage
Retirement savings plan
Tuition reimbursement
Mental health support

Job summary

TwinThread is seeking a Quantitative Developer, Rates – Vice President to enhance systematic trading capabilities. You will be responsible for designing and delivering production systems, collaborating closely with quantitative researchers and traders. Ideal candidates should be proficient in Java, C++, and Python, with a Bachelor’s or Master’s degree in a quantitative field. A competitive salary and a comprehensive benefits package await you. Join us in transforming innovative research into impactful algorithms.

Qualifications

  • Proficiency in programming with Java, C++ or another object-oriented language.
  • Experience performing data analysis in Python, including proficiency with data science libraries.
  • Ability to translate quantitative models into reliable, maintainable production code.

Responsibilities

  • Design, build and maintain algorithmic trading systems for systematic Rates trading.
  • Implement quantitative models in production, translating research prototypes.
  • Collaborate with traders and researchers on models and processes.

Skills

Java
C++
Python
Data analysis
Interpersonal skills

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering

Tools

NumPy
pandas

Job description

TwinThread is seeking a Quantitative Developer, Rates – Vice President to enhance systematic trading capabilities. You will be responsible for designing and delivering production systems, collaborating closely with quantitative researchers and traders. Ideal candidates should be proficient in Java, C++, and Python, with a Bachelor’s or Master’s degree in a quantitative field. A competitive salary and a comprehensive benefits package await you. Join us in transforming innovative research into impactful algorithms.
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