Quantitative Researcher

About WorldQuant

WorldQuant specializes in formulating and executing systematic financial strategies across diverse asset classes and global markets. The firm focuses on generating high-quality predictive indicators called alphas through its proprietary research framework, which drive its financial strategies aimed at exploiting market inefficiencies. Collaboratively, the teams at WorldQuant develop these alphas and strategies that underpin a diversified, global investment approach.

With a culture blending academic rigor and accountability, WorldQuant encourages open problem-solving, combining intellectual depth with practical results. Ideas can come from any individual regardless of position, fostering a culture that challenges norms and values continuous advancement. The firm prioritizes hiring top-tier talent characterized by exceptional intellect and potential, promoting an environment without predefined paths to success.

Role Overview

Research is fundamental at WorldQuant. Researchers are engaged in innovative and unrestricted exploration of data applications within financial markets to discover new alphas. They develop mathematical data expressions that serve as inputs to quantitative models designed to predict market behavior.

This position seeks a highly capable Quantitative Researcher who possesses a solid grasp of the investment research lifecycle and creates algorithmic models to forecast moves in global financial markets. Previous financial experience is advantageous but not mandatory; however, candidates must display a genuine interest in finance and global market dynamics. Essential attributes include a research-oriented mindset, self-motivation, creativity, persistence, and enthusiasm for tackling unsolved challenges.

Key Responsibilities

• Develop algorithm-based computer models to analyze financial data.
• Investigate academic research in quantitative finance literature.
• Examine novel datasets for potential predictive value.
• Integrate innovative techniques from Applied Mathematics, Computer Science, and Financial Economics.
• Keep abreast of advancements in Artificial Intelligence and large language model research to identify integration opportunities in quantitative finance.

Candidate Profile

• Degree from a prestigious institution in analytical or quantitative disciplines such as Mathematics, Finance, Economics, Computer Science, Physics, or Engineering.
• Possess deep analytical thinking, creativity, perseverance, inquisitiveness, self-initiative, and meticulous attention to detail.
• Strong critical thinking abilities with a flair for unconventional approaches.
• Proficient in programming languages including C++ and/or Python.
• Solid understanding and hands-on experience with machine learning, scientific libraries like NumPy and pandas, and frameworks such as PyTorch and Keras.
• Familiarity with AI-assisted programming tools (e.g., Claude Code, OpenCode, Roo Code).
• Eagerness to expand knowledge about global financial markets.
• Proficient in English, both spoken and written.
• Demonstrates a strong work ethic.

Additional Preferred Qualifications

• Awards or medals from international or regional Mathematical, Programming, or Physics Olympiads.
• Exceptional academic achievements, including a PhD or its equivalent, scientific publications, presentations, grants, or honors.
• Relevant work history in research or software engineering.
• Understanding of financial economics topics such as portfolio theory, asset pricing, corporate finance, and derivatives.
• Knowledge and practical experience with AI, Machine Learning, and large language models.

Benefits and Work Environment

• Engage in varied and dynamic work within a leading international organization.
• Competitive salary supplemented by potential annual bonuses and salary increments.
• Support for work-life balance including flexible working hours, parental leave, sabbaticals, and extra vacation days after extended service.
• Opportunities to participate in business travel to the US and other locations.
• Frequent team-building activities, competitions, corporate events, and monthly team meals.
• Comprehensive medical and critical illness insurance coverage.
• Employee support programs addressing psychological, legal, and financial matters for staff and their families.
• Parental leave policies for secondary caregivers.
• A culture nurturing continuous professional growth through certifications, online and offline training locally and abroad, English language classes, and mentorship programs.
• Modern office facilities in a central city area with amenities such as coffee, fruits, and snacks.
• Potential relocation assistance under certain conditions.

Additional Information

This role is situated in Yerevan, Armenia. Applicants agree to the WorldQuant Privacy Policy regarding data collection, usage, disclosure, retention, and security, as well as associated legal rights. WorldQuant is an equal opportunity employer committed to diversity and non-discrimination based on legally protected characteristics.