Quantitative Analyst

11 hours ago

Mumbai, Maharashtra, India Youngquist Investments Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Title: Quantitative Analyst Trading Support (Equity Research)

Industry / Functional Area: Analytics / KPO / Research (or BFSI if you prefer finance-first)

Department / Role: Equity Research Analyst / Quantitative Analyst

Base Location: Mumbai, India (Remote option; must reside full-time in India)

Compensation: 15–20 LPA (~$15/hour)

Employment Type: Full-time

Job Description

We are a U.S.-based family office expanding our quantitative research capabilities in India. We are seeking two Quantitative Analysts to support our active trading strategies. The ideal candidate will combine a strong academic background in mathematics/statistics with hands-on programming skills and an interest in financial markets.

Key Responsibilities

  • Research, test, and validate systematic trading strategies
  • Clean, process, and analyze financial and alternative datasets
  • Build and refine statistical models for signal generation and risk management
  • Support backtesting, portfolio construction, and performance attribution
  • Collaborate directly with senior leadership to translate research into live strategies

Required Qualifications

  • Master's degree (M.A./M.Sc./M.Tech/MBA) in Mathematics, Statistics, Economics, Computer Science, Engineering, or another quantitative discipline
  • Strong programming skills in Python (R or C++ also valuable)
  • Solid knowledge of probability, statistics, linear algebra, and time-series analysis
  • Ability to work independently and remotely with reliability and accountability
  • Must be a full-time resident of India

Preferred Qualifications

  • Exposure to financial markets, equity research, or algorithmic trading
  • Familiarity with SQL, Pandas, NumPy, scikit-learn, or other data science tools
  • Understanding of trading systems and execution models
  • Experience with backtesting frameworks or financial data APIs

What We Offer

  • Competitive compensation at 15–20 LPA
  • Exposure to real-world trading operations and global markets
  • Direct mentorship from senior leadership
  • Flexible, remote-friendly work environment

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