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Job Title: Analyst – Algorithmic Trading Strategies | Python & Quant Analytics Location: Mumbai Experience Level: 1–3 Years Education: B.Tech/M.Tech/MSc/PhD in Quantitative Finance, Physics, Mathematics, Statistics, Computer Science, or Electrical & Electronics Role Overview: A leading global financial institution is seeking a Python-proficient Analyst to join its Algo Strategies and Quantitative Analytics team . The role is ideal for early-career professionals with strong technical skills and an interest in financial markets, index structuring, and quantitative strategy development. Key Responsibilities: Collaborate with structuring and trading teams globally to develop, maintain, and enhance custom index solutions across asset classes (Rates, FX, Commodities, Credit). Script and automate index calculators using in-house platforms and tools. Ensure accurate publication and delivery of index data; respond to client and internal queries. Enhance legacy infrastructure and proactively improve data workflows for scale and reliability. Assist in the development and maintenance of systematic trading strategies and execution algorithms. Support model validation, testing, and deployment in production environments. Gain exposure to cross-asset index methodologies, derivative pricing, and structured products. Required Skills & Qualifications: Strong programming skills in Python (C/C++/Java or VBA a plus). Comfortable working with large datasets, APIs, and financial data tools. Good understanding of quantitative methods, statistics, and finance fundamentals. Working knowledge of Excel; familiarity with Bloomberg or similar market data terminals is a plus. Strong analytical mindset and a passion for problem-solving in financial contexts. Excellent communication skills and the ability to work with global teams under tight deadlines. Preferred: Exposure to structured products, index construction, or systematic trading. CFA Level I (or equivalent) is a plus but not required. Familiarity with quantitative libraries and data visualization tools is a bonus. Why Join This Role? Be part of a fast-paced global quant team operating at the core of market innovation. Get exposure to real-world quantitative finance applications and global trading desks. Work alongside PhDs, Quants, and Tech-savvy professionals from top-tier institutions. Opportunity to grow into more senior quant, structuring, or data science roles in global markets.