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Salary
≈ $12k – $33k per year (Estimated)
Location
In office (Bengaluru)
Experience
3+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match
MerQube is a fintech firm designing and calculating cloud-native indexing and rules-based investing solutions across thematic, ESG, QIS, and multi-asset strategies, including equities, futures, and options.

We are seeking a highly skilled and motivated Quantitative Associate (Financial Engineer) to join our team in Bangalore, India. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies primarily focused on options.


Responsibilities:

  • Develop, model, and backtest new index strategies using Python, with a focus on financial data management.
  • Collaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions.
  • Interface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines.
  • Utilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.
  • Work with options data sets and applications such as FactSet and Reuters.


Requirements:

  • Bachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience.
  • Proficiency in Python programming, with a focus on financial data management.
  • Strong options knowledge, including pricing, greeks, and portfolio applications, is highly desirable.
  • Strong interest in financial markets and the intersection of software and quantitative finance.
  • Experience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra).
  • Excellent communication skills and the ability to collaborate effectively with both clients and internal teams.

Skills

Axioma, Bloomberg, FactSet, Morningstar, Python, Reuters, options

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