Senior Quantitative Strategist: Build Alphas & Systems

WorldQuant; Genf; On-site; CHF 120,000 - 190,000; Full time

Benefits offered by this job

Fully paid medical and dentalinsurance

Flexible spending account

401k

Parental leave

Generous PTO

Gym discounts

Wellness activities

Casual dress code

Training courses

Employee resource groups

Job summary

WorldQuant in Geneva seeks candidates for quantitative research roles focused on systematic strategies across global asset classes. You will support alpha research, modelling, and portfolio construction, building tools used by teams across the research and trading workflow.

PhD or Master’s in a quantitative field with 2–8 years of experience and strong Python/C++ skills are required. Linux proficiency and a rigorous, principled approach are essential for success in this collaborative environment.

Qualifications

• PhD or Masters degree from a top university in a quantitative field.
• 2–8 years’ experience in quantitative research and/or quantitative development for systematic strategies.
• Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms.
• Working knowledge of Linux.
• Strong problem-solving abilities.
• Strong moral integrity and work ethic.

Responsibilities

• Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies.
• Build and maintain tools and systems used throughout the quantitative research and portfolio management processes.

Skills

Python

C++

Linux

Quantitative research

Data structures & algorithms

Education

PhD or Master’s degree in CS/Math/Statistics/Physics/Engineering/Quantitative finance

Job description

WorldQuant in Geneva seeks candidates for quantitative research roles focused on systematic strategies across global asset classes. You will support alpha research, modelling, and portfolio construction, building tools used by teams across the research and trading workflow.

PhD or Master’s in a quantitative field with 2–8 years of experience and strong Python/C++ skills are required. Linux proficiency and a rigorous, principled approach are essential for success in this collaborative environment.