Data Science Analyst
2 days ago
Company Overview:
Millennium Management is a leading global hedge fund committed to leveraging innovations in technology and data science to solve complex business problems.
We are assembling a strong Quant Technology team to build our next-generation analytics, Trader & Risk support tools. This team will sit under the Fixed Income & Commodities Technology (FICT) group and develop and maintain in-house pricing libraries to support trading in Fixed Income, Commodities, Credit, and FX business at Millennium.
FICT provides a dynamic and fast-paced environment with excellent growth opportunities.
**Job Description:**
As a Quantitative Researcher, you will research, build, enhance, test, and maintain commodities quantitative models specialized for the needs of risk managers and portfolio managers.
The role sits within the centralized commodities quant team, within the Technology department.
You will work closely with derivatives quants worldwide to research and develop risk analytics for our commodities business.
The emphasis is on quantitative analysis for derivatives, including calculation and aggregation of raw risk metrics (the Greeks), risk projections, forward curve, and volatility surface construction.
**Estimated Salary Range:** $175,000 - $250,000 per year, specific to New York.
Much of this total compensation package includes a base salary, discretionary performance bonus, and a comprehensive benefits package.
We take into consideration an individual's experience level and qualifications when finalizing an offer to formulate a competitive total compensation package.
**Required Skills and Qualifications:**
- Bachelor or Master's degree in Engineering, Applied Mathematics, Physics, Statistics, or other related field.
- 3-5+ years of professional working experience as a quant or strat.
- Strong experience in quantitative analysis for pricing/risk of commodity derivatives.
- Strong practical knowledge of US Power markets.
- Solid communications skills.
- Strong C++ programming skills.
- Able to work independently in a fast-paced environment.
- Detail-oriented, organized, demonstrating thoroughness, and strong ownership of work.
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