Experienced Quantitative Strategist

WorldQuant; Paris; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Medical and dental insurance

Parental leave

Unlimited PTO & sick days

Wellness discounts

Training & development

Employee resource groups

Job summary

WorldQuant seeks candidates with quantitative research experience across asset classes including global equities and/or ETFs, futures, currencies and options. You will support portfolio managers, develop alphas, and build tools for research and trading workflows.

A PhD or Masters in CS, math, statistics, physics, engineering or quantitative finance, 2–8 years of experience, and Python and/or C++ skills are required. Strong Linux knowledge, problem solving and integrity are essential.

Qualifications

• PhD or Masters in a quantitative discipline with strong maths/CS foundations.
• 2–8 years of experience in quantitative research and/or development.
• Proficiency in Python and/or C++, with knowledge of data structures and algorithms.

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

Problem solving

Integrity

Education

PhD or Masters in CS/Math/Statistics/Physics/Engineering/Quant Finance

Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role:

We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options

Job Responsibilities (include, but not limited to the following)

• 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

What You’ll Bring:

• PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
• 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

Our Benefits:

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, full paid parental leave, generous PTO (paid time off) with unlimited sick days
• Perks: Employee discounts for gym memberships, wellness activities etc., healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

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WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.