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MerQube Inc · Posted 5mo ago

Quantitative Associate

Location
🇮🇳 Bangalore, India
Role
Data science
Source
Employer’s own job board (Greenhouse)

Stack

The posting

MerQube is an innovative fintech firm, leading the development of cutting-edge technology for indexing and rules-based investing. MerQube offers design and calculation solutions for complex rules-based strategies. Launched in 2019 in New York and San Francisco by a team of index industry veterans and technology experts, MerQube was created to provide a technology focused alternative.

MerQube designs and calculates a wide variety of indices, ranging from thematic to ESG, QIS and delta one, while covering multi-asset, equities, futures as well as options. Leveraging cloud-based architecture and today's most advanced index-tracking technology, MerQube's platform enables its clients to bring ideas to market quickly and efficiently.

Position Overview:

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.

Our Commitment:

At MerQube, we foster a collaborative, fast-moving environment where team members can grow and expand their technical, financial, and leadership skills. We prioritize wellness, work-life balance, and offer flexible working arrangements. We celebrate diversity and welcome team members from all backgrounds, encouraging continuous learning and career growth while playing a key role in transforming the financial industry.

Benefits:

• Pay that matches your ambition : competitive compensation packages that grow with you

• Benefits that actually have your back : top-tier medical, dental, vision, and more

• Work where you work best : flexible arrangements, including hybrid options

• A team that feels like home : we're building a community-first culture

• Your wellbeing, prioritized : real investment in health, wellness, and work-life balance

• Room to grow, fast : hands-on opportunities to learn, level up, and shape your career

• Lunch is on us: enjoy paid office lunches, because great ideas flow better on a full stomach

• Time to recharge : generous PTO, holidays, and sick time, because rest fuels great work