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AI / Data Science | Scrabble & Jigsaw

full-time
Posted on 27-08-2026

Job Description

AI / Data Science – Investments

Company Overview

Not specified.

Job Summary

We are seeking a highly skilled AI/ML, Data Science, or Data professional to join a newly established team within the Investment function. The role focuses on leveraging advanced AI and data techniques to enhance investment decision-making processes, evaluate data and model efficacy, and identify opportunities that contribute to alpha generation and profitability. This position offers an exciting opportunity to work at the intersection of cutting-edge data science and investment strategies, driving innovation and competitive advantage.

Responsibilities

  • Apply AI/ML and Data Science methodologies to investment and equity-related use cases.
  • Evaluate the quality, relevance, and predictive power of investment and market data.
  • Develop and assess models that generate actionable investment insights.
  • Collaborate with investment teams to identify opportunities for AI-led research and decision-making.
  • Evaluate model performance through backtesting, validation, and relevant investment metrics.
  • Explore areas such as predictive modeling, alternative data, NLP/sentiment analysis, portfolio analytics, and investment signals.

Qualifications

  • Strong background in AI/ML, Data Science, or Data.
  • Relevant experience in Asset Management, Investments, Quantitative Analysis, Capital Markets, Equities, or Systematic Investing.
  • Hands-on experience applying AI/Data Science techniques to investment-related problems.
  • Ability to connect technical/data insights with investment outcomes and business impact.
  • Excellent analytical and problem-solving skills.
  • Strong communication skills to work closely with investment professionals.
  • Educational qualifications such as BTech, BSc, MSc, or PhD in relevant fields.

Preferred Skills

  • Experience with predictive modeling, NLP, sentiment analysis, portfolio analytics, and investment signals.
  • Familiarity with backtesting frameworks and investment metrics.
  • Knowledge of alternative data sources and their application in investment strategies.
  • Proficiency in programming languages such as Python, R, or similar.
  • Experience working in collaborative, cross-functional teams.

Experience

  • Relevant experience in Asset Management, Investments, Quantitative Analysis, Capital Markets, or Systematic Investing.
  • Hands-on experience applying AI/ML/Data Science to investment-related problems.
  • Typically, 3+ years of professional experience in related roles.

Environment

  • The role is based in Mumbai.
  • The work environment involves collaborating with investment teams and data science professionals.
  • The setting is primarily office-based, with potential for hybrid work arrangements.
  • The role requires a focus on data-driven decision-making in a professional, fast-paced investment environment.

Salary

Not specified.

GrowthOpportunities

Not specified.

Benefits

Not specified.

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