Quantitative Associate at MerQube in Bengaluru, Karnataka, IN

Quantitative Associate

About MerQube

MerQube, established in 2019 by leaders from globally recognized financial and technology firms, is redefining the way indices are created, calculated, and delivered. With advanced technology and a cloud-based architecture, MerQube enables clients to bring innovative index and systematic investing strategies to market efficiently.

As a Quantitative Associate, you will be part of MerQube’s Financial Engineering team in Bangalore, India. This role is ideal for someone with strong experience in financial markets, Python programming, data analysis, options, and index strategy development.

Position Summary

We are looking for a motivated and technically strong Quantitative Associate to join our growing team in Bangalore. In this role, you will contribute to the modeling, backtesting, and launch of index strategies, with a particular focus on options and systematic investing.

You will work closely with the Financial Engineering team, platform engineering teams, and internal stakeholders to build scalable, reliable, and data-driven financial solutions.

Key Responsibilities

• Develop, model, and backtest new index strategies using Python.
• Work with financial data sets to clean, analyze, validate, and prepare data for research and production use.
• Create and maintain MerQube-branded financial engines and index strategies.
• Support daily and historical index calculations, including testing, validation, and automation.
• Work on options-based strategies, including pricing, Greeks, payoff structures, volatility, and portfolio-level applications.
• Collaborate with Financial Engineering and Platform Engineering teams to improve calculation workflows and data processes.
• Automate recurring tasks related to index research, backtesting, and production calculations.
• Review output data, identify issues, and troubleshoot calculation or data-quality problems.
• Prepare documentation, analysis summaries, and client/internal support materials when required.
• Apply software engineering best practices while building financial models, analytics tools, and scalable calculation workflows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Finance, Mathematics, Economics, Statistics, Data Science, or a related quantitative field.
• Minimum 4–6 years of relevant experience in quantitative finance, index research, financial engineering, or software development
• Strong programming skills in Python, especially for financial modeling and backtesting.
• Good understanding of financial markets, equity markets, derivatives, index products, and systematic investing.
• Strong understanding of options, including option pricing, Greeks, volatility, payoff structures, and portfolio applications.
• Experience working with large data sets and Python libraries such as Pandas, NumPy, or similar tools.
• Exposure to financial data platforms such as Bloomberg, Reuters, FactSet, Morningstar, Axioma, or Barra will be an advantage.
• Strong analytical mindset with excellent attention to detail and data accuracy.
• Ability to work with cross-functional teams and communicate clearly with both technical and non-technical stakeholders.
• Strong interest in the intersection of software, financial markets, and quantitative research.

Good to Have

• Experience with backtesting investment strategies or index methodologies.
• Exposure to systematic investing, factor models, volatility strategies, or derivatives-based indices.
• Understanding of cloud-based systems, databases, APIs, or distributed computing concepts.
• Prior experience in fintech, index providers, or quantitative development/research teams.
• Familiarity with SQL, Git, or basic software development workflows.

What We Offer

• Opportunity to work with a fast-growing fintech company at the forefront of index innovation and systematic investing.
• Exposure to real-world financial engineering problems across indices, derivatives, and institutional investment strategies.
• A collaborative and learning-oriented environment with strong mentorship from experienced professionals.
• Opportunity to build strong expertise in Python, quantitative finance, options, and index strategy development.
• Competitive compensation and benefits.

Equal Opportunity Employer

MerQube is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, age, national origin, disability, or any other factor protected by applicable laws.

If you are passionate about financial markets, Python, data, and quantitative problem-solving, we would love to have you join MerQube’s journey of innovation.