Quantitative Engineer
4 days ago
This role is for one of our clients
Industry: Financial Services
Seniority level: Mid-Senior level
Min Experience: 4 years
Location: Bangalore
JobType: full-time
₹30,00,000 - ₹60,00,000 a year We are looking for a Quantitative Engineer to join our technology and research team and contribute to the next generation of pricing, analytics, and trading infrastructure. In this role, you will bridge quantitative research with high-performance engineering, enabling traders and quants to deploy advanced strategies with speed, precision, and reliability. You will play a key part in building scalable systems, enhancing pricing engines, and shaping new financial products in a fast-paced trading environment.Key Responsibilities Trading Platform & Pricing Infrastructure Development Design, develop, and maintain core trading infrastructure that supports real-time decision-making and complex quantitative workflows. Build tools and frameworks that improve pricing accuracy for derivatives and structured products, ensuring models are production-grade and scalable. Develop and optimize execution logic, data pipelines, and system components that support high-throughput trading operations. Collaboration With Trading & Research Teams Partner with quantitative researchers, traders, product teams, and operations to translate research ideas into robust technical implementations. Participate in model enhancements and experimental product development, including areas such as correlation derivatives, volatility surfaces, and incomplete data scenarios. Provide engineering insights to improve system reliability, performance, and usability for business stakeholders. Technical Problem-Solving & Quality Engineering Address complex engineering challenges across distributed systems, pricing engines, and market data processing. Drive high standards in code quality, software engineering practices, testing frameworks, and continuous integration pipelines. Contribute to system monitoring, optimization, and automation to ensure operational excellence.
Qualifications Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a closely related field. Strong hands-on experience in Python and proficiency in at least one performant language such as C++ or Java. Understanding of distributed architectures, low-latency systems, or large-scale computation. Familiarity with derivatives, trading concepts, risk calculations, or pricing frameworks is highly beneficial. Excellent grasp of algorithms, data structures, and software design principles. Ability to break down ambiguous technical challenges and develop clear, maintainable solutions. Strong communication skills with the ability to collaborate across technical and non-technical teams. Comfort working in iterative, high-velocity environments where ownership and adaptability are essential.
Key Skills Python
• C++ / Java
• Quantitative Engineering
• Trading & Execution Systems
• Derivatives Pricing
• Financial Modeling
• Distributed Systems
• Algorithms & Data Structures
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