Analyst - Algorithmic Trading Strategies - Python & Quant Analytics

Job Title : Analyst - Global Markets | Algo Strategies | Python & Quant Analytics

Location: Mumbai / Remote Hybrid

Experience Level : 0-3 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.