Senior Quantitative Research Engineer (AI/ML)

About the Role

We are looking for a Senior Quantitative Research Engineer to help build and enhance the next generation of AI-powered investment strategies. This role sits at the intersection of machine learning, quantitative research, and financial markets, giving you the opportunity to work on models that directly influence real investment decisions.

You won't be confined to building models in isolation. You'll collaborate closely with researchers, engineers, and leadership to transform data into scalable production systems while developing a deep understanding of the commercial and market forces that drive portfolio performance. If you enjoy combining strong technical expertise with strategic thinking, this is an ideal opportunity.

What You'll Do

As a key member of the quantitative research team, you will:

- Design, improve, and optimize predictive machine learning models used to identify investment opportunities and enhance portfolio performance across consumer credit markets.
- Research, develop, and launch new quantitative investment strategies while continuously monitoring their real-world performance through rigorous backtesting and live evaluation.
- Apply advanced statistical analysis, feature engineering, and predictive modeling techniques to solve complex financial problems and generate actionable insights.
- Perform hyperparameter optimization, model validation, and performance benchmarking to ensure models remain accurate, reliable, and scalable in production.
- Build a deep understanding of capital markets, consumer lending, and the economic drivers behind investment decisions, using that knowledge to improve model quality and business outcomes.




- Evaluate potential investment opportunities by conducting quantitative analysis and preparing clear, data-driven investment committee memorandums for stakeholders.
- Develop, maintain, and improve production-grade Python codebases that support research workflows, data pipelines, and operational systems.
- Collaborate with software engineers and data scientists to deploy machine learning models into production while ensuring reliability, monitoring, and continuous improvement.
- Use modern AI tools effectively throughout research and development, exercising strong judgment to distinguish when automated outputs should be trusted and when independent verification is required.
- Communicate complex quantitative findings in a clear and accessible manner to both technical and non-technical audiences.

What We're Looking For

We're seeking someone who combines strong quantitative ability with practical engineering experience and commercial awareness.

Required Qualifications

- 3+ years of professional experience in quantitative research, quantitative analytics, or machine learning within financial services, fintech, hedge funds, or investment management.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline.
- Strong programming skills in Python, with experience building, testing, and maintaining production-quality software.




- Hands-on experience developing predictive machine learning models, including feature engineering, hyperparameter tuning, model evaluation, and performance optimization.
- Experience working with production data pipelines and writing clean, maintainable, and scalable code.
- Excellent analytical and problem-solving skills with the ability to translate complex datasets into meaningful business insights.
- Strong communication skills and the ability to explain sophisticated quantitative concepts to diverse stakeholders.
- Comfortable working independently in a fast-paced, high-growth environment while taking ownership of projects from research through production.

Preferred Qualifications

- Experience with consumer credit, lending, fixed income, or broader capital markets.
- Familiarity with experiment design, backtesting frameworks, and model monitoring.
- Experience collaborating across research and engineering teams to deploy ML systems at scale.

What We Offer

- Competitive base salary: $150,000–$250,000 USD plus eligibility for a performance-based bonus.
- Comprehensive medical, dental, and vision insurance for employees.
- Company-sponsored retirement savings plan.
- Flexible paid time off and a remote-friendly work environment that supports work-life balance.
- The chance to work directly with leadership, senior quantitative researchers, and experienced engineers on high-impact investment products.
- Exposure to sophisticated consumer credit markets and AI-driven investment strategies within a rapidly growing fintech company managing over $1 billion in capital.
- A collaborative, research-driven culture where your ideas can directly influence products, strategy, and long-term business growth.

📌 Quantitative Researcher (Mumbai)
🏢 Stealth Startup
📍 Mumbai