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WisdomTree in Europe

Quantitative Research Associate

Reposted 17 Days Ago
Be an Early Applicant
Hybrid
London, Greater London, England
Junior
Hybrid
London, Greater London, England
Junior
Support the research team in developing new investment strategies and distribution-oriented research, enhancing WisdomTree's quantitative capabilities.
The summary above was generated by AI
We are hiring a full-time associate within our European Research Team based in London. This candidate will support the research team in developing new investment strategies and creating distribution-oriented research.

The successful candidate will help develop WisdomTree Quantitative Research capabilities overall.

Key Accountabilities and Scope

  • Act as support for the Research desk in its day-to-day activities
  • Develop distribution-oriented research across asset classes, particularly as it relates to supporting and explaining the value proposition of our existing strategies.
  • Help develop data infrastructure and quantitative tools to support research effort across the company
  • Conduct rigorous quantitative research to enhance or develop new investment strategies that have a compelling investment proposition
  • Collaborate on academic research to help build WisdomTree’s brand in this space for European clients.

Skills and Qualifications

  • Master’s degree in Finance, Math, Computer Science, or Machine Learning/AI-oriented discipline. 
  • 2+ years plus financial services experience, preferably in Asset Management, Index development, and/or equity research.
  • Comprehensive understanding of financial mathematics and derivatives
  • Excellent quantitative skills
  • Experience with Machine Learning/AI is a strong plus
  • Proficiency in Python and SQL
  • Experience working with unstructured datasets a strong plus.
  • Strong written and verbal communication skills in English
  • High attention to details
  • Professional proficiency in one or more European languages (e.g. French, German, Italian) is an advantage.
  • Familiarity of various industry tools (i.e. Bloomberg, Morningstar) is appreciated

About Us:
WisdomTree is a global financial innovator, offering a diverse suite of exchange-traded products (ETPs), models and solutions, private market investments and digital asset-related products. Our offerings empower investors to shape their financial future and equip financial professionals to grow their businesses. Leveraging the latest financial infrastructure, we create products that emphasize access and transparency and provide an enhanced user experience. Building on our heritage of innovation, we offer next-generation digital products and services related to tokenized real world assets and stablecoins, as well as our institutional platform, WisdomTree Connect™, blockchain-native digital wallet, WisdomTree Prime®*, and have expanded into private markets through the acquisition of Ceres Partners’ U.S. farmland platform.

Work Smart:
Headquartered in New York City, WisdomTree embraces a “Work Smart” philosophy that transcends physical workspace, aiming to optimize productivity, efficiency and effectiveness. Employee time in the office generally is not prescribed, and team leaders are empowered to determine how their teams work best, based on their roles, which may include in-person, in-office engagement.
 
Mission, Vision & Values:
WisdomTree is committed to delivering a better financial experience through the quality of our products, solutions and engagement, and to be the leader in delivering best structured access to global asset classes, empowering clients through innovative solutions and long-term performance. WisdomTree employees strive for excellence and innovation, work with transparency and accountability and support each other as a global teamWe welcome the applications of qualified individuals who will support this mission and thrive in our collaborative and empowering work environment.
 

Top Skills

Bloomberg
Morningstar
Python
SQL
HQ

WisdomTree in Europe City of London, England Office

1 King William Street, City of London, United Kingdom, EC4N 7AF

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