Quantitative Research Analyst

Position: Quantitative Research Analyst Deep Learning

Location: Gurgaon, India

Employment Type: Full-time, On-site

Experience: 2-3 years (experience in a similar organization not necessary)

Education: Masters/ Ph.D. in Computer Science, Engineering, Mathematics, Physics or a related discipline from a premier academic institution (Bachelors degree may be considered for exceptional in terms of experience & expertise candidates). Preference for individuals with a background in the application of Deep Learning.

MarkeTopper Securities:

We are pioneers of Quantitative trading in India. By combining financial market research with Mathematics and advanced computation we develop and implement trading systems that have enabled us to consistently generate superior risk adjusted returns for more than two decades.

Role:

• Collaborate with experienced quantitative analysts on financial market analysis and algorithm development.
• Perform data analysis to identify patterns, anomalies, and trends in complex datasets.
• Optimize and validate algorithms for efficiency and accuracy, and contribute to technical documentation.
• Work with software engineers to implement trading models for deployment in live markets.

Experience/Skills:

• Proven experience in solving complex problems using deep learning.
• Demonstrated proficiency in real world applications of unsupervised learning techniques.
• Ability to apply mathematical and analytical skills to tackle real-world problems.
• Proficiency in at least one programming language - C, C++ or Python.
• Excellent written and verbal communication skills.
• Strong collaboration and teamwork abilities.
• Ability to work independently and manage multiple tasks in a fast-paced environment.

Benefits:

• Competitive compensation package with significant incentives & investment potential
• Health insurance and wellness programs
• Opportunities for professional and career advancement
• Dynamic and inclusive work environment
• Convenient location in Gurgaon with easy access to public transportation