Quant Trader in London: High-Impact, Team-Driven

Ashby; Greater London; Presencial; GBP 120.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary bonus

Private medical cover

Pension & protection

On-site lunch

Season ticket loan

Tuition reimbursement

Descripción de la vacante

Old Mission Europe is a quantitative trading firm recruiting a quant trader to join our London office. Our traders work in teams to seek out and profitably trade mispriced securities across asset classes.

Responsibilities include disciplined decision making, risk management, derivative pricing, and researching new opportunities. Applicants should hold a quantitative degree and have 1+ years of trading experience, with proficiency in Python, C++ or other listed languages.

Formación

• Degree in a quantitative field such as computer science, engineering or hard sciences.
• Proficiency in Python, C++, Java, VBA, R, Matlab or Ruby.
• Team player with ability to work under high pressure.
• 1+ years of relevant trading experience.
• Strong ethics and performance standards.
• Curious and eager to understand how things work.
• Excellent written and verbal communication.

Responsabilidades

• Join our London office and work in teams to trade mispriced securities.
• Engage in disciplined decision making and risk management.
• Pricing derivatives and researching new opportunities.
• Collaborate to improve trading strategies and tooling.

Conocimientos

Python

C++

Java

VBA

R

Matlab

Ruby

Team player

High-pressure work

Communication skills

Ethical standards

Curiosity & learning

Educación

Undergraduate or advanced degree in a quantitative field (CS/engineering/science)

Descripción del empleo

Old Mission Europe is a quantitative trading firm recruiting a quant trader to join our London office. Our traders work in teams to seek out and profitably trade mispriced securities across asset classes.

Responsibilities include disciplined decision making, risk management, derivative pricing, and researching new opportunities. Applicants should hold a quantitative degree and have 1+ years of trading experience, with proficiency in Python, C++ or other listed languages.