Health Insurance

Vision Insurance

401K Plan

Performance Bonus

Maternity & Paternity Leave

Vacation & Paid Time Off

Large

Millennium is a global alternative investment management firm, founded in 1989, which manages $58.9 billion in assets. We seek to pursue a diverse array of investment strategies across industry sectors, asset classes, and geographies.

Our four primary strategies are RV Fundamental Equity, Equities Arbitrage, Fixed Income Strategies, and Quantitative Strategies.

Millennium was founded on the belief that innovation and results come from empowering talented, independent-minded individuals. To us, success is the combination of drive and discipline.

Finance

Millennium

You have experience in quantitative modeling for commodity derivatives, know at least one commodity asset class, are proficient in Python for numerical computation, and possess strong communication skills.

You will research, build, and maintain quantitative models for commodity risk analysis, collaborating with teams globally on derivatives, risk metrics, and scenario modeling.

Data

Banking & Finance

London

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics, Trader & Risk support tools. This team will sit under the Fixed Income & Commodities Technology (FICT) group and will develop and maintain the 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. Responsibilities * Newly-created role to research, build, enhance, test and maintain commodities quantitative models specialized for the needs of risk managers. * Work closely with derivatives quants and data scientists in London, Bangalore, Geneva, Tel Aviv, Miami and New York to research and develop risk analytics for our commodities business. * The emphasis is on models for derivatives, including calculation and aggregation of raw risk metrics (the Greeks), risk projections, handling timeseries data for the construction of price and volatility scenarios, modeling of Value at Risk (VaR) with both historical and factor-based approaches. * Additional emphasis on risk-related topics deriving from the modeling of commodities fundamentals. Requirements * Previous experience with quantitative modeling of commodity derivatives. Specifically, researching and building risk models for commodities is a plus. * Practical familiarity with at least one of the commodities asset classes, such as energy, ags and softs, or base metals. * Substantial hands-on experience with python with an associated tool stack for high-performance numerical computation. * Solid communications skills. * Able to work independently in a fast-paced environment. * Detail oriented, organized, demonstrating thoroughness and strong ownership of work.

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics, Trader & Risk support tools. This team will sit under the Fixed Income & Commodities Technology (FICT) group and will develop and maintain the 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.Responsibilities * Newly-created role to research, build, enhance, test and maintain commodities quantitative models specialized for the needs of risk managers. * Work closely with derivatives quants and data scientists in London, Bangalore, Geneva, Tel Aviv, Miami and New York to research and develop risk analytics for our commodities business. * The emphasis is on models for derivatives, including calculation and aggregation of raw risk metrics (the Greeks), risk projections, handling timeseries data for the construction of price and volatility scenarios, modeling of Value at Risk (VaR) with both historical and factor-based approaches. * Additional emphasis on risk-related topics deriving from the modeling of commodities fundamentals.      Requirements * Previous experience with quantitative modeling of commodity derivatives. Specifically, researching and building risk models for commodities is a plus. * Practical familiarity with at least one of the commodities asset classes, such as energy, ags and softs, or base metals. * Substantial hands-on experience with python with an associated tool stack for high-performance numerical computation. * Solid communications skills. * Able to work independently in a fast-paced environment. * Detail oriented, organized, demonstrating thoroughness and strong ownership of work.

Quant Researcher - Commodities - Millennium

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Quant Technology team to build our next generation in-house analytics, Trader &amp;amp; Risk support tools. This team will sit under the Fixed Income &amp;amp; Commodities Technology (FICT) group and will develop and maintain the 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.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Newly-created role to research, build, enhance, test and maintain commodities quantitative models specialized for the needs of risk managers.&lt;/li&gt;&lt;li&gt;Work closely with derivatives quants and data scientists in London, Bangalore, Geneva, Tel Aviv, Miami and New York to research and develop risk analytics for our commodities business.&lt;/li&gt;&lt;li&gt;The emphasis is on models for derivatives, including calculation and aggregation of raw risk metrics (the Greeks), risk projections, handling timeseries data for the construction of price and volatility scenarios, modeling of Value at Risk (VaR) with both historical and factor-based approaches.&lt;/li&gt;&lt;li&gt;Additional emphasis on risk-related topics deriving from the modeling of commodities fundamentals.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Requirements&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Previous experience with quantitative modeling of commodity derivatives. Specifically, researching and building risk models for commodities is a plus.&lt;/li&gt;&lt;li&gt;Practical familiarity with at least one of the commodities asset classes, such as energy, ags and softs, or base metals.&lt;/li&gt;&lt;li&gt;Substantial hands-on experience with python with an associated tool stack for high-performance numerical computation.&lt;/li&gt;&lt;li&gt;Solid communications skills.&lt;/li&gt;&lt;li&gt;Able to work independently in a fast-paced environment.&lt;/li&gt;&lt;li&gt;Detail oriented, organized, demonstrating thoroughness and strong ownership of work.&lt;/li&gt;&lt;/ul&gt;

Quant Researcher - Commodities

You need 1+ years in finance, strong financial modeling and accounting skills, proficiency in Excel, and a relevant degree. Sector experience and coding skills are a plus.

You will build financial models, conduct research, attend industry events, develop contacts, ensure recommendation quality, and support fundamental research efforts.

Qualifications / Skills Required * At least 1+ years of relevant experience, ideally from the buyside, sell-side or investment banking * Experience within the Industrials, Oil & Gas or Technology sector beneficial (but not essential) * Financial modelling experience and expertise in financial accounting * Strong Excel skills * Outstanding academic qualifications at Bachelors' degree or above * Strong quantitative and qualitative skills as well as an ability to conduct critical reasoning * Strong IT skills essential and Coding a plus Role * Building and maintaining detailed company financial models as directed by the Portfolio Manager * Conducting industry and company-specific research – performing diligence and channel checks on specific stocks and industries as directed by the team * Building and maintaining complex industry data models * Attending conferences and industry events, and reporting back with detailed information and data points * Initiating and developing primary industry contacts * Committing your daily efforts to the highest levels of professionalism, integrity, and excellence * Ensuring the accuracy and quality of all of your recommendation materials * Supporting fundamental research into companies, industries, and sectors

Qualifications / Skills Required * At least 1+ years of relevant experience, ideally from the buyside, sell-side or investment banking * Experience within the Industrials, Oil & Gas or Technology sector beneficial (but not essential) * Financial modelling experience and expertise in financial accounting * Strong Excel skills * Outstanding academic qualifications at Bachelors' degree or above * Strong quantitative and qualitative skills as well as an ability to conduct critical reasoning * Strong IT skills essential and Coding a plus      Role * Building and maintaining detailed company financial models as directed by the Portfolio Manager * Conducting industry and company-specific research – performing diligence and channel checks on specific stocks and industries as directed by the team * Building and maintaining complex industry data models * Attending conferences and industry events, and reporting back with detailed information and data points * Initiating and developing primary industry contacts * Committing your daily efforts to the highest levels of professionalism, integrity, and excellence * Ensuring the accuracy and quality of all of your recommendation materials * Supporting fundamental research into companies, industries, and sectors

Equity L/S Analyst, Generalist, London - Millennium

&lt;strong&gt;Qualifications / Skills Required&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;At least 1+ years of relevant experience, ideally from the buyside, sell-side or investment banking&lt;/li&gt;&lt;li&gt;Experience within the Industrials, Oil &amp;amp; Gas or Technology sector beneficial (but not essential)&lt;/li&gt;&lt;li&gt;Financial modelling experience and expertise in financial accounting&lt;/li&gt;&lt;li&gt;Strong Excel skills&lt;/li&gt;&lt;li&gt;Outstanding academic qualifications at Bachelors' degree or above&lt;/li&gt;&lt;li&gt;Strong quantitative and qualitative skills as well as an ability to conduct critical reasoning&lt;/li&gt;&lt;li&gt;Strong IT skills essential and Coding a plus&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Role&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Building and maintaining detailed company financial models as directed by the Portfolio Manager&lt;/li&gt;&lt;li&gt;Conducting industry and company-specific research – performing diligence and channel checks on specific stocks and industries as directed by the team&lt;/li&gt;&lt;li&gt;Building and maintaining complex industry data models&lt;/li&gt;&lt;li&gt;Attending conferences and industry events, and reporting back with detailed information and data points&lt;/li&gt;&lt;li&gt;Initiating and developing primary industry contacts&lt;/li&gt;&lt;li&gt;Committing your daily efforts to the highest levels of professionalism, integrity, and excellence&lt;/li&gt;&lt;li&gt;Ensuring the accuracy and quality of all of your recommendation materials&lt;/li&gt;&lt;li&gt;Supporting fundamental research into companies, industries, and sectors&lt;/li&gt;&lt;/ul&gt;

Millennium

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