Quantitative Trading Strategist

4 days ago


Mumbai, Maharashtra, India QuantInsti Full time

About QuantInsti

As a pioneering force in quantitative trading and education, QuantInsti is driven to revolutionize the financial markets by empowering individuals and institutions with cutting-edge knowledge and technologies.

We are seeking an experienced Quantitative Trader with a strong entrepreneurial mindset to join our dynamic team. This role offers a unique opportunity to design innovative algorithmic trading products for individual traders and financial institutions in the education and fintech domains.

Key Responsibilities

  • Develop and deploy machine learning systems for real-world applications, leveraging expertise in probability, statistics, and algorithms.
  • Analyze and address challenges faced by the algorithmic trading industry in major global markets, contributing to practical and impactful solutions.
  • Collaborate with cross-functional teams to drive efficiency and productivity across product, marketing, and sales.
  • Take entrepreneurial initiatives to align with and support QuantInsti's vision for democratizing systematic and quantitative trading.

Required Qualifications:

  • 7-15 years of relevant experience in financial markets, trading, or quantitative research, with a strong background in quantitative techniques and machine learning frameworks.
  • Expertise in Python data science and machine learning ecosystems, as well as data structures and data modeling.
  • Bachelor's or Master's degree in engineering, statistics, computer science, finance, or a related quantitative field from a reputable institution.
  • Excellent time management and organizational skills, with outstanding written and verbal communication skills.

Salary: $120,000 - $200,000 per annum

Why Work at QuantInsti?

We offer a fast-paced environment where you take ownership of what you design and deliver. Our open and free work culture encourages asking questions, learning, and teaching. If you love to be challenged intellectually and enjoy driving innovation in financial education and quantitative trading, we encourage you to apply today.



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