Quantitative Researcher
Job Description:
We are seeking a Quantitative Researcher to join our team. Our team sits under the Trading department and focuses on arbitrage strategies including convertible arbitrage, capital structure arbitrage, and other related strategies. Our team has more than 6 years of tenure at Millennium and has been expanding quickly in the quantitative arm.
This role is our first hire in India and offers significant growth opportunities. The qualified and successful candidate will have the opportunity to work closely with experienced quants, fundamental analysts, and portfolio managers to build quantitative models, develop trading strategies, and make a direct PnL impact.
Job Responsibilities:
Explore and analyze new datasets, including firm fundamental data, market data, and alternative data.
Conduct in-depth data studies on company fundamental data, build financial models on company capital structure, and apply both structural and reduced-form models to measure credit risk.
Apply financial modeling and machine learning techniques to build quantitative models that generate trading signals.
Productionalize models and maintain data infrastructure, and work with the team to identify opportunities for process improvement and innovation.
Collaborate with quants, fundamental analysts, and portfolio managers to enhance quantitative models and develop trading strategies, making an impact on the team's PnL.
Qualifications:
3-7 years of experience in building quantitative models, developing quant trading strategies, and managing data infrastructure and production models.
Demonstrated ability to conduct high-quality empirical research, work independently, and collaborate in a global team.
Solid Python programming skills and an ability to quickly learn new technologies.
Knowledge of capital structure models, credit risk modeling, option pricing, CDS, convertible arbitrage, or capital structure arbitrage is a plus.
Experience in the full cycle of quantitative research including data cleaning, data study, developing quantitative models, and implementing them in production is a plus.
Experience in NLP and machine learning is a plus.
Experience in using generative AI tools (e.g., ChatGPT) in daily work is a plus.