Quantitative Researcher (Treasury)
7 Jabotinsky, Tel Aviv, Israel
Millennium
Millennium is a global, diversified alternative investment firm with the mission to deliver high-quality returns for our investors.Millennium is seeking a dedicated Treasury Quantitative Researcher to join our high-performing team in Tel Aviv. This role provides an outstanding opportunity to contribute to innovative projects that push the financial industry forward. You will work alongside a motivated team that values hard work, adaptability, and consistent achievement, maintaining the utmost commitment to excellence. We are building our next generation in-house analytics and trader support tools.
Our Israel office is located in the Bursa area of Ramat Gan. As a global firm, English proficiency is a must.
Responsibilities
- Conducting detailed research and analysis on margin calculations across fixed income and equities.
- Collaborating with our treasury team, FIC business management team, quant developers and technology to build different parts of quant research framework and library.
- Developing and improving global netting margin agreements.
- Building and maintaining stress cash and margin models.
- Applying your strong expertise in Python to build and implement quantitative models.
- Successfully implementing quantitative research findings to improve financial performance.
- Working closely with a global team of quants in London, New York, and Geneva
- Enhancing Examples & providing documentation where required
Requirements
- Minimum 2-3 years’ experience working with Python, and data analysis libraries (Pandas/Polars/Numpy).
- Bachelor’s degree in Computer Science, Mathematics, Engineering or similar, from a leading university. (M.A. degree is a plus)
- Outstanding analytical and statistical skillset with solid domain understanding.
- Passion for working in finance.
- Ability to work collaboratively in a team-oriented environment.
- Ambitious and driven to compete at the highest levels of the financial industry.
- Strong communication skills, both written and verbal.
Desirable skills/experience:
- Experience with financial mathematics, statistics and broad understanding of financial services/instruments.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Engineering Finance Mathematics NumPy Pandas Python Research Statistics
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