Quantitative Researcher for Advanced Mathematical Modeling
2 days ago
About LST Capital:
We are a leading quantitative research firm dedicated to developing innovative financial strategies through rigorous mathematical research and cutting-edge analytics. Our mission is to explore complex global markets by leveraging deep expertise in mathematics, statistics, and technology.
With a strong focus on advancing quantitative research, we seek a highly skilled Quantitative Researcher to join our team.
Key Responsibilities:
- Develop advanced mathematical models to analyze and interpret complex datasets, uncover actionable insights, and identify innovative solutions in financial markets.
- Create and refine predictive models, statistical algorithms, and machine learning frameworks to understand trends and patterns in high-dimensional data.
- Collaborate with cross-disciplinary teams of researchers and technologists to integrate cutting-edge methodologies into financial strategies.
- Pursue new research areas, staying at the forefront of advancements in quantitative research, applied mathematics, and machine learning.
- Present detailed findings, methodologies, and insights to stakeholders in a clear and compelling manner.
Requirements:
- A current PhD student or PhD holder in Mathematics, Statistics, Physics, Computer Science, Engineering, Quantitative Finance, or a closely related quantitative discipline.
- Deep expertise in mathematical modeling, probability theory, optimization, and machine learning.
- Proficiency in Python or R, with experience in libraries and tools such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
- Familiarity with data manipulation, SQL, and experience with big data technologies (e.g., Spark, Hadoop).
- Exceptional problem-solving skills and a passion for addressing intellectually challenging problems.
What We Offer:
A competitive salary of $120,000 - $180,000 per year, depending on qualifications and experience.
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