13 - 17 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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Job Type

Full Time

Job Description

As an Analyst specializing in Algorithmic Trading Strategies within Python & Quant Analytics at a leading global financial institution in Mumbai, you will play a pivotal role in the Algo Strategies and Quantitative Analytics team. **Key Responsibilities:** - Collaborate with structuring and trading teams globally to develop, maintain, and enhance custom index solutions across asset classes such as Rates, FX, Commodities, and Credit. - Script and automate index calculators using in-house platforms to ensure accurate publication and delivery of index data and respond to client and internal queries. - Enhance legacy infrastructure and improve data workflows for scale and reliability. - Assist in the development and maintenance of systematic trading strategies and execution algorithms, supporting model validation, testing, and deployment in production environments. **Qualifications Required:** - Degree in B.Tech/M.Tech/MSc/PhD in fields such as Quantitative Finance, Physics, Mathematics, Statistics, Computer Science, or Electrical & Electronics. - Strong programming skills in Python, with knowledge of C/C++/Java or VBA considered a plus. - Comfortable working with large datasets, APIs, and financial data tools. - Good understanding of quantitative methods, statistics, and finance fundamentals. - Proficiency in Excel and familiarity with Bloomberg or similar market data terminals. - Analytical mindset, problem-solving skills in financial contexts, excellent communication abilities, and the capacity to work with global teams under tight deadlines. This role offers an exciting opportunity to be part of a fast-paced global quant team at the forefront of market innovation. You will gain exposure to real-world quantitative finance applications and global trading desks, working alongside experts from diverse backgrounds. Additionally, there is potential for growth into more senior quant, structuring, or data science positions within global markets.,

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