Deep Researcher

About WorldQuant

WorldQuant specializes in creating and implementing systematic financial strategies across diverse asset classes and international markets. The company focuses on generating top-tier predictive indicators (alphas) via its exclusive research platform, aimed at exploiting market inefficiencies. Collaborative teamwork is central to developing these alphas and financial approaches that form the backbone of a diversified global investment platform.

The organizational culture emphasizes a blend of academic rigor and accountability, promoting open problem-solving, intellectual curiosity combined with practical results, and continuous innovation. Exceptional ideas are welcomed from all employees regardless of position.

Role Overview

This role offers a distinct chance to join a growing team as a Quantitative Researcher. You will collaborate closely with experts in data science, engineering, technology, and data sourcing to identify and investigate new sector-specific or broad financial alphas through a solid grasp of fundamental analysis.

Key Responsibilities

• Design and execute a structured research plan that integrates fundamental expertise, data analysis, and quantitative methodologies.
• Develop domain expertise in fundamental topics related to your research focus, pinpointing critical information drivers.
• Perform extensive data analysis to thoroughly understand datasets used in alpha generation; enrich multiple structured and unstructured data sources to support quantitative investigations.
• Adopt a process-driven methodology to comprehend the driving factors behind your alphas' value.

Qualifications and Experience

• Minimum two years of relevant experience in financial research.
• Proven ability to derive insights from large and complex datasets using SQL and Python; familiarity with alternative data is advantageous.
• Strong financial knowledge demonstrated by passing at least Level I of the CFA program or possessing equivalent qualifications such as an MBA or accounting background.
• Well-versed in various valuation techniques and approaches.
• Experience with time series analysis and modeling.
• High proficiency in C/C++ and Python programming languages.
• Excellent verbal and written communication skills in English.
• Strong analytical and conceptual capabilities in finance and investment domains.
• Experience with financial research platforms like Bloomberg and Reuters is preferred.

Employee Benefits

• Engagement in dynamic and non-routine work environments within an international leader.
• Competitive salary which may include annual bonuses and salary increments.
• Work-life balance support including flexible start times, parental leave, and sabbaticals after five years of service.
• Opportunities for international business travel.
• Regular team-building activities, competitions, corporate functions, and monthly team lunches.
• Comprehensive medical and life insurance coverage.
• Support programs addressing psychological, legal, and financial needs for employees and their families.
• Parental leave benefits for secondary caregivers.
• Commitment to ongoing learning with certification opportunities, training sessions locally and abroad, English courses, and professional mentoring.
• Modern office facilities in the city center with refreshment amenities.
• Potential relocation assistance in select cases.

Additional Information

The position is located in Yerevan, Armenia. Candidates applying acknowledge and agree to the terms of WorldQuant's Privacy Policy, which details data collection, usage, retention, security, and related legal rights and obligations.

WorldQuant is an equal opportunity employer committed to diversity and prohibits discrimination on legally protected grounds including race, religion, gender, age, disability, and more.