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Quantitative Python Developer

IMC Trading - Mumbai, India

Posted Feb 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quantitative Python Developer Mumbai, India IMC's Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You'll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you'll see your work move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning-where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success. Your Core Responsibilities: - Collaborate closely with traders to refine existing strategies and generate new ideas. - Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research. - Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets. - Curate, transform, and present data in clear, accessible formats for traders and researchers. - Drive end-to-end research cycles - from ideation through production deployment. Your Skills and Experience: - Bachelor's in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline. - 3+ years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus. - Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow). - Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively. - Foundational knowledge of quantitative trading concepts and equity/index options - whether

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