Quantitative Researcher

WorldQuant; Maharashtra; On-site; INR 2,200,000 - 4,200,000; Full time

Job summary

WorldQuant in India seeks a Quantitative Researcher to build data-driven models predicting movements in global financial markets. You will identify high-quality alphas and contribute to our systematic investment research platform.

Candidates should have a strong academic background in math, physics, CS or financial engineering, and be proficient in Python and Unix with a deep interest in finance. Prior trading experience is a plus, but curiosity and perseverance matter most.

Qualifications

• Bachelor's/Master's/PhD in a highly quantitative or analytical field (Math, Physics, CS, Financial Engineering)
• Research-minded and self-driven with creative problem-solving
• Proficiency in Python and Unix; strong communication in English

Responsibilities

• Identify high-quality predictive signals (alphas) using data-driven methods.
• Develop computer-based models to predict movements in global financial markets.
• Collaborate with other researchers to advance WorldQuant's investment research platform.

Skills

Research mindset

Linear Algebra

Statistics

Machine Learning

Python

Unix

English skills

Global markets interest

Strong work ethic

Education

Quantitative degree (BSc/MSc/PhD)

Tools

Python

Unix

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:

Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring

• Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

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