Treasury Quantitative Researcher
Millennium is seeking a dedicated Treasury Quantitative Researcher to join our high-performing team in Millennium, Bangalore, India.
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. This team will sit under the Fixed Income & Commodities Technology (FICT) group as this platform provides the in-house pricing libraries used by trading in Fixed Income, Commodities, Credit, and FX businesses at Millennium. FICT provides a dynamic and fast-paced environment with excellent growth opportunities.
Principal Responsibilities
Conducting detailed research and analysis on margin calculations across fixed income and equities.
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.
Collaborating with treasury, quant developers and technology to build different parts of quant research framework and library.
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
Qualifications/Skills Desired
2+ years of professional experience using Python for quantitative analysis
At least 2 years of experience working with Equities or Fixed Income quantitative analysis ideally in treasury or prime financing
Outstanding analytical and statistical skillset with solid domain understanding.
Ability to work collaboratively in a team-oriented environment.
Ambitious and driven to compete at the highest levels of the financial industry.
Demonstrated strong problem-solving abilities, with a knack for complex troubleshooting and root cause analysis.
Excellent team player with a strong willingness to contribute and assist others.
Exceptional interpersonal and written communication skills.
Education and Experience:
Bachelor's / Master's degree in Computer Science, Mathematics, or a related field.
A minimum of 2-5 years of relevant work experience.