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Role: Quantitative ResearcherLocation: Gurugram, HR, IndiaKey ResponsibilitiesModel Development: Design, implement, and optimize machine learning models to forecast movements of liquid assets, utilizing comprehensive financial data and a wide variety of trading signalsData Processing: Parse and prepare datasets for future alpha (strategy) development, ensuring high standards of quality and relevanceResearch Implementation: Explore and apply cutting-edge academic research in quantitative finance to improve model accuracy and efficiencyCollaboration: Partner with experienced quantitative researchers to conduct experiments and test hypotheses through simulationsRequirementsEducational Background : Degree in computer science or engineering from a Tier 1 (IIT/NIT/BITS/DTU) institute in India.Passion for the Field : Strong enthusiasm for machine learning and quantitative finance.Analytical Skills: Exceptional analytical and problem-solving abilities.Team Collaboration : Ability to work effectively both independently and as part of a collaborative team.Programming Proficiency : Strong proficiency in programming languages, particularly Python.Financial Acumen : Understanding of financial accounting is advantageous.Experience : 2 to 15 years of relevant industry experience.BenefitsCompensation Packag e: Competitive salary with performance-based bonuses linked to the algorithms you develop.Collaborative Environmen t: Engage in a supportive and collegial workplace, where you can actively participate in shaping research direction and lead innovative initiatives.