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Experienced Quantitative Strategist

WorldQuant

Singapore

On-site

SGD 70,000 - 120,000

Full time

4 days ago
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Job summary

A leading financial strategy firm in Singapore is looking for candidates with quantitative research experience and expertise in systematic strategies. The ideal candidate holds a relevant PhD or Master's and has 2-8 years of experience in quantitative research, proficient in Python and C++. This role supports Portfolio Managers in developing trading strategies and requires strong problem-solving abilities. Competitive benefits and casual work environment included.

Benefits

Fully paid medical and dental insurance
Flexible spending account
401k with full paid parental leave
Generous PTO with unlimited sick days
Employee discounts for gym memberships
Healthy snacks and casual dress code
Learning and development courses

Qualifications

  • 2-8 years’ experience in quantitative research and/or development for systematic strategies.
  • Demonstrated ability to program in Python and/or C++ with a strong background in data structures.
  • Strong moral integrity and work ethic.

Responsibilities

  • Support Portfolio Managers with alpha research and implementation of quantitative trading strategies.
  • Build and maintain tools for quantitative research and portfolio management.

Skills

Quantitative research experience
Programming in Python
Programming in C++
Strong problem-solving abilities
Knowledge of data structures and algorithms

Education

PhD or Masters degree in relevant fields

Tools

Linux

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
  • 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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