Job Description
Sterling Capital Partners is a leading global investment bank seeking a visionary Senior Quantitative Analyst to join our elite trading division. In this high-impact role, you will be responsible for designing, developing, and deploying complex statistical models to drive algorithmic trading strategies. We are looking for a candidate who thrives in a fast-paced environment and possesses the technical prowess to navigate the complexities of modern financial markets. Join us to shape the future of our trading desk and enjoy a competitive remuneration package.
Responsibilities
- Develop and optimize high-frequency algorithmic trading strategies using Python and C++.
- Design and implement statistical models for risk management and market prediction.
- Conduct extensive backtesting and scenario analysis to validate trading models.
- Collaborate with cross-functional teams including software engineers, traders, and risk officers.
- Monitor market data in real-time to identify arbitrage opportunities and anomalies.
- Mentor junior analysts and contribute to the development of the quantitative research team.
Qualifications
- PhD or MSc in Mathematics, Physics, Computer Science, or a related quantitative field.
- Strong proficiency in Python, R, or C++ with a focus on data manipulation libraries (Pandas, NumPy).
- Deep understanding of financial concepts, including derivatives, stochastic calculus, and time-series analysis.
- Experience with big data frameworks (Spark, Hadoop) and SQL databases.
- Excellent problem-solving skills and the ability to communicate complex technical ideas to non-technical stakeholders.