Millennium is one of the leading global hedge funds, managing over $85B, with more than 6,500 employees and offices worldwide. Founded in 1989, we employ a global multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies, producing consistent performance for our investors for over 30 years. We are strongly committed to leveraging innovations in technology and data science to solve complex and challenging problems, putting us at the cutting edge in our field.
We are looking to expand our Quant Modelling team which is building the next generation of in-house analytics and trader support tools. This team will develop and maintain the models and pricing libraries to support trading in Fixed Income, Commodities, Credit and FX derivatives, leveraging state-of-the-art mathematical modelling and financial and software engineering methods to provide our traders with the best analytics and support tools in the business.
Candidate will need to have strong mathematical foundations (probability, statistics, linear algebra and calculus) to understand, implement and develop financial pricing models and analytics. A deep and passionate interest in Finance is essential for success in this role.
This is a singular opportunity to join one of the top hedge funds in the world and enter the fast-growing and dynamic world of global Finance, learning from the best in the field how it is done at the highest levels. No prior experience in finance is required.
We generously reward hard work and outstanding performance, offering a unique opportunity for personal growth and building one’s career path in the lucrative and exciting world of global finance. We offer a dynamic environment and a culture that nurtures learning and growth, with excellent international opportunities.
Responsibilities:
- Develop fixed-income and cross-asset pricing and risk analytics for our in-house pricing library.
- Develop pre-trade analysis tools for Portfolio Managers.
- Help maintain and enhance our C++ financial analytics library and derivative pricing and risk framework.
Mandatory Requirements:
- M.A. degree with a strong quantitative training such as Math, Physics, Computer Science or Electrical Engineering with high grades (candidates with an exceptional B.A. degree will be considered if they have at least 3 full years of relevant work experience)
- 3 years programming experience and good knowledge of complexity and data structures. C++ knowledge is preferred but Java or Python are also acceptable.
- Strong analytical and mathematical skills
- Very strong English written and verbal skills. It is essential the candidate can clearly and fluently communicate in English
- Solid communication skills.
- Able to work independently in a fast-paced environment.
- Detail oriented, organized, demonstrating thoroughness and strong ownership of work
Additional valuable skills (nice to have):
- Experience with financial mathematics and derivative pricing.
- Experience in the financial industry
- A PhD degree