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Job summary
PowerToFly is seeking a researcher to join their Credit Automated Trading team in New York. This role focuses on developing AI-driven tools and trading models for automated trading in fixed income products. Candidates should possess 2-5 years of quantitative experience, an advanced degree, and proficiency in Python. The position offers a competitive salary between $225,000 - $250,000, reflecting the value of expertise in a dynamic trading environment while promoting an inclusive workforce.
Qualifications
2–5 years of experience in a quantitative role.
Solid understanding of probability, statistics, machine learning, and optimization.
Able to explain a model to a trader and discuss implementation details with technology.
Responsibilities
Use modern analytical tools and LLMs to improve models and speed up development.
Develop and improve real-time pricing models for corporate and sovereign bonds.
Identify patterns driving trading flow and translate them into actionable signals.
Skills
Quantitative analysis
Python programming
Machine learning
Statistical modeling
Education
Advanced degree (PhD, Master or equivalent) in quantitative fields
Tools
Q/Kdb+
Scala
Java
Job description
PowerToFly is seeking a researcher to join their Credit Automated Trading team in New York. This role focuses on developing AI-driven tools and trading models for automated trading in fixed income products. Candidates should possess 2-5 years of quantitative experience, an advanced degree, and proficiency in Python. The position offers a competitive salary between $225,000 - $250,000, reflecting the value of expertise in a dynamic trading environment while promoting an inclusive workforce.