Vacancy description
BestEx Research
$100 USD
India, Bengaluru
Senior Quantitative Analyst - C++ in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
based financial technology and research firm headquartered in Stamford, Connecticut, with offices in the United Kingdom, India and Armenia. The firm specializes in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides its services to performance-demanding hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.
BestEx Research’s mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients.
Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities, futures, and foreign exchange that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algo customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for US equity and global futures trading.
BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. BestEx Research uses leading-edge technology to support its low-latency, highly scalable research and trading systems with its back end in C++, research libraries in C++/Python and R, and web-based technologies for delivering its front-end platforms.
com for more information about our mission, products, research, and services.
BestEx Research’s Bangalore office is not an “offshore center.” It’s a core engineering and research hub - working on the exact same problems and projects as our U.You’ll be part of the global brain trust, solving some of the hardest problems in trading, systems, and data science.
A high-trust environment where performance speaks louder than hierarchy.
Competitive compensation in India, including equity and cash bonuses
Our beautiful Bengaluru office is conveniently located in Prestige Tech Park, Outer Ring Road,
Amenities include modern work spaces, free parking, recreational games, and free meals.
As a Quantitative Researcher, you will be a key contributor to the team responsible for our core research ecosystem. You will work alongside experienced practitioners to develop rigorous quantitative models, design robust analytical frameworks, and drive the mission-critical research that powers our algorithmic trading strategies using tick-by-tick market data and execution logs. At BestEx Research, our quantitative researchers are deeply integrated into the full research lifecycle from hypothesis generation through model validation and production deployment. You will develop a specialized understanding of global market microstructure, algorithmic execution, and performance measurement. Our researchers are nested within a talented team of experts and practitioners in the field and regularly contribute to writing research papers, while interfacing closely with client research teams to improve trading costs and execution quality. Design, develop, and validate quantitative models for market analytics and transaction cost analyses.
Conduct rigorous statistical analysis on large, complex datasets to surface actionable insights
Define and track model performance metrics. Stay current with academic research and industry developments; Advanced degree (MS or PhD) in a quantitative field (Mathematics, Statistics, Economics, Physics, CS, or related) preferred, or equivalent demonstrated experience.
Expert in Python (Numpy, Pandas, scikit-learn, statsmodels)
Strong foundation in statistics, probability, and machine learning.
Demonstrated ability to take a research question from problem definition through model deployment.
Clear written and verbal communication - you can explain a model's assumptions and limitations to a non-technical stakeholder
Bonus Points For
Experience - 5+ years
Prior experience (0-5 years) in fintech, electronic trading, or a data-heavy research environment is highly valued.
Prior exposure to real-time or production ML systems.
Exposure to AI is a big plus
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