Quant Trader: Collaborative, Tech-Driven Markets

Tradermath

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Competitive salary with discretionary年
Private medical, dental, vision and 1x
Pension scheme
Lunch on-site
Season Ticket Loan
Tuition reimbursement

Job summary

Old Mission Europe, a quantitative proprietary trading firm, is seeking a quant trader for our London office. You will work in a team to identify mispriced securities, price derivatives, and research new opportunities, with emphasis on disciplined decision making and risk management.

Strong programming and quantitative skills, plus 1+ year trading experience and excellent communication, are essential for success in a fast-paced, merit-based environment.

Qualifications

  • Undergraduate or advanced degree in a quantitative field (CS, engineering, hard sciences).
  • Proficiency in Python, C++, Java, VBA, R, Matlab or Ruby.
  • Ability to work in a team, even under high pressure.
  • 1+ years of relevant trading experience.
  • Proven trustworthiness and high ethical standards.
  • Strong desire to learn and understand how systems work.
  • Excellent written and verbal communication skills.

Responsibilities

  • Trade as part of a team to identify mispriced opportunities.
  • Exercise disciplined decision making and risk management.
  • Price derivatives and research new trading opportunities.

Skills

Quantitative degree
Python
C++
Java
Trading experience
Team player
Ethics
Curiosity
Communication

Education

Quantitative degree

Tools

Python
C++
Java
VBA
R
Matlab
Ruby

Job description

Old Mission Europe, a quantitative proprietary trading firm, is seeking a quant trader for our London office. You will work in a team to identify mispriced securities, price derivatives, and research new opportunities, with emphasis on disciplined decision making and risk management.

Strong programming and quantitative skills, plus 1+ year trading experience and excellent communication, are essential for success in a fast-paced, merit-based environment.

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